diff --git a/README.md b/README.md
index 09b424b..6bc47e0 100644
--- a/README.md
+++ b/README.md
@@ -31,9 +31,7 @@ You can find the documentation at [https://ethicalml.github.io/xai/index.html](h
 
 </table>
 
-# 0.0.5 - ALPHA Version
-
-This library is currently in early stage developments and hence it will be quite unstable due to the fast updates. It is important to bare this in mind if using it in production. 
+# 0.1.0
 
 If you want to see a fully functional demo in action clone this repo and run the <a href="https://github.com/EthicalML/xai/blob/master/examples/XAI%20Example%20Usage.ipynb">Example Jupyter Notebook in the Examples folder</a>.
 
@@ -84,7 +82,7 @@ ims = xai.imbalance_plot(df, "gender")
 
 #### View imbalances for all categories across multiple columns
 ``` python
-im = xai.show_imbalance(df, "gender", "loan")
+im = xai.imbalance_plot(df, "gender", "loan")
 ```
 <img width="100%" src="images/readme-imbalance-multiple.jpg">
 
diff --git a/env.yml b/env.yml
index 672f436..99f1841 100644
--- a/env.yml
+++ b/env.yml
@@ -3,16 +3,17 @@ channels:
   - defaults
   - conda-forge
 dependencies:
-  - python==3.7.3
+  - python
   - jupyter
-  - numpy==1.15.4
-  - pandas==0.23.4
-  - matplotlib==3.0.2
-  - scikit-learn==0.20.1
+  - numpy
+  - pandas
+  - matplotlib
+  - scikit-learn
   - seaborn
   - spacy
   - nb_conda
   - keras
+  - tensorflow
   - pip:
     - black
     - jupyterthemes # jt -t monokai -T -nfs 115 -cellw 98% -N -kl -ofs 11 -altmd
diff --git a/examples/README.md b/examples/README.md
new file mode 100644
index 0000000..d24971a
--- /dev/null
+++ b/examples/README.md
@@ -0,0 +1,975 @@
+```python
+import sys, os
+import pandas as pd
+import numpy as np
+from collections import defaultdict
+import matplotlib.pyplot as plt
+from sklearn.preprocessing import LabelEncoder, StandardScaler
+from sklearn.pipeline import make_pipeline
+
+# Use below for charts in dark jupyter theme
+
+THEME_DARK = False
+
+if THEME_DARK:
+    # This is used if Jupyter Theme dark is enabled. 
+    # The theme chosen can be activated with jupyter theme as follows:
+    # >>> jt -t oceans16 -T -nfs 115 -cellw 98% -N  -kl -ofs 11 -altmd
+    font_size = '20.0'
+    dark_theme_config = {
+        "ytick.color" : "w",
+        "xtick.color" : "w",
+        "text.color": "white",
+        'font.size': font_size,
+        'axes.titlesize': font_size,
+        'axes.labelsize': font_size, 
+        'xtick.labelsize': font_size, 
+        'ytick.labelsize': font_size, 
+        'legend.fontsize': font_size, 
+        'figure.titlesize': font_size,
+        'figure.figsize': [20, 7],
+        'figure.facecolor': "#384151",
+        'legend.facecolor': "#384151",
+        "axes.labelcolor" : "w",
+        "axes.edgecolor" : "w"
+    }
+    plt.rcParams.update(dark_theme_config)
+
+sys.path.append("..")
+
+import xai
+import xai.data
+```
+
+
+```python
+csv_path = 'data/adult.data'
+categorical_cols = ["gender", "workclass", "education", "education-num", "marital-status",
+                   "occupation", "relationship", "ethnicity", "loan"]
+csv_columns = ["age", "workclass", "fnlwgt", "education", "education-num", "marital-status",
+                   "occupation", "relationship", "ethnicity", "gender", "capital-gain", "capital-loss",
+                   "hours-per-week", "loan"]
+```
+
+
+```python
+df = xai.data.load_census()
+df.tail()
+```
+
+
+
+
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>age</th>
+      <th>workclass</th>
+      <th>education</th>
+      <th>education-num</th>
+      <th>marital-status</th>
+      <th>occupation</th>
+      <th>relationship</th>
+      <th>ethnicity</th>
+      <th>gender</th>
+      <th>capital-gain</th>
+      <th>capital-loss</th>
+      <th>hours-per-week</th>
+      <th>loan</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>32556</th>
+      <td>27</td>
+      <td>Private</td>
+      <td>Assoc-acdm</td>
+      <td>12</td>
+      <td>Married-civ-spouse</td>
+      <td>Tech-support</td>
+      <td>Wife</td>
+      <td>White</td>
+      <td>Female</td>
+      <td>0</td>
+      <td>0</td>
+      <td>38</td>
+      <td>&lt;=50K</td>
+    </tr>
+    <tr>
+      <th>32557</th>
+      <td>40</td>
+      <td>Private</td>
+      <td>HS-grad</td>
+      <td>9</td>
+      <td>Married-civ-spouse</td>
+      <td>Machine-op-inspct</td>
+      <td>Husband</td>
+      <td>White</td>
+      <td>Male</td>
+      <td>0</td>
+      <td>0</td>
+      <td>40</td>
+      <td>&gt;50K</td>
+    </tr>
+    <tr>
+      <th>32558</th>
+      <td>58</td>
+      <td>Private</td>
+      <td>HS-grad</td>
+      <td>9</td>
+      <td>Widowed</td>
+      <td>Adm-clerical</td>
+      <td>Unmarried</td>
+      <td>White</td>
+      <td>Female</td>
+      <td>0</td>
+      <td>0</td>
+      <td>40</td>
+      <td>&lt;=50K</td>
+    </tr>
+    <tr>
+      <th>32559</th>
+      <td>22</td>
+      <td>Private</td>
+      <td>HS-grad</td>
+      <td>9</td>
+      <td>Never-married</td>
+      <td>Adm-clerical</td>
+      <td>Own-child</td>
+      <td>White</td>
+      <td>Male</td>
+      <td>0</td>
+      <td>0</td>
+      <td>20</td>
+      <td>&lt;=50K</td>
+    </tr>
+    <tr>
+      <th>32560</th>
+      <td>52</td>
+      <td>Self-emp-inc</td>
+      <td>HS-grad</td>
+      <td>9</td>
+      <td>Married-civ-spouse</td>
+      <td>Exec-managerial</td>
+      <td>Wife</td>
+      <td>White</td>
+      <td>Female</td>
+      <td>15024</td>
+      <td>0</td>
+      <td>40</td>
+      <td>&gt;50K</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+
+
+
+
+```python
+target = "loan"
+protected = ["ethnicity", "gender", "age"]
+```
+
+
+```python
+df_groups = xai.imbalance_plot(df, "gender", categorical_cols=categorical_cols)
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_4_0.png)
+    
+
+
+
+```python
+groups = xai.imbalance_plot(df, "gender", "loan", categorical_cols=categorical_cols)
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_5_0.png)
+    
+
+
+
+```python
+bal_df = xai.balance(df, "gender", "loan", upsample=0.8, categorical_cols=categorical_cols)
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_6_0.png)
+    
+
+
+
+```python
+groups = xai.group_by_columns(df, ["gender", "loan"], categorical_cols=categorical_cols)
+for group, group_df in groups:
+    print(group)
+    print(group_df["loan"].head(), "\n")
+```
+
+    (' Female', ' <=50K')
+    4      <=50K
+    5      <=50K
+    6      <=50K
+    12     <=50K
+    21     <=50K
+    Name: loan, dtype: object 
+    
+    (' Female', ' >50K')
+    8      >50K
+    19     >50K
+    52     >50K
+    67     >50K
+    84     >50K
+    Name: loan, dtype: object 
+    
+    (' Male', ' <=50K')
+    0      <=50K
+    1      <=50K
+    2      <=50K
+    3      <=50K
+    13     <=50K
+    Name: loan, dtype: object 
+    
+    (' Male', ' >50K')
+    7      >50K
+    9      >50K
+    10     >50K
+    11     >50K
+    14     >50K
+    Name: loan, dtype: object 
+    
+
+
+
+```python
+_ = xai.correlations(df, include_categorical=True, plot_type="matrix")
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_8_0.png)
+    
+
+
+
+```python
+_ = xai.correlations(df, include_categorical=True)
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_9_0.png)
+    
+
+
+
+```python
+proc_df = xai.normalize_numeric(bal_df)
+proc_df = xai.convert_categories(proc_df)
+x = proc_df.drop("loan", axis=1)
+y = proc_df["loan"]
+
+x_train, y_train, x_test, y_test, train_idx, test_idx = \
+    xai.balanced_train_test_split(
+            x, y, "gender", 
+            min_per_group=300,
+            max_per_group=300,
+            categorical_cols=categorical_cols)
+
+x_train_display = bal_df[train_idx]
+x_test_display = bal_df[test_idx]
+
+print("Total number of examples: ", x_test.shape[0])
+
+df_test = x_test_display.copy()
+df_test["loan"] = y_test
+
+_= xai.imbalance_plot(df_test, "gender", "loan", categorical_cols=categorical_cols)
+```
+
+    Total number of examples:  1200
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_10_1.png)
+    
+
+
+
+```python
+import sklearn
+from sklearn.model_selection import train_test_split
+from sklearn.metrics import classification_report, mean_squared_error, roc_curve, auc
+
+from tensorflow.keras.layers import Input, Dense, Flatten, \
+    Concatenate, concatenate, Dropout, Lambda, Embedding
+from tensorflow.keras.models import Model, Sequential
+
+def build_model(X):
+    input_els = []
+    encoded_els = []
+    dtypes = list(zip(X.dtypes.index, map(str, X.dtypes)))
+    for k,dtype in dtypes:
+        input_els.append(Input(shape=(1,)))
+        if dtype == "int8":
+            e = Flatten()(Embedding(X[k].max()+1, 1)(input_els[-1]))
+        else:
+            e = input_els[-1]
+        encoded_els.append(e)
+    encoded_els = concatenate(encoded_els)
+
+    layer1 = Dropout(0.5)(Dense(100, activation="relu")(encoded_els))
+    out = Dense(1, activation='sigmoid')(layer1)
+
+    # train model
+    model = Model(inputs=input_els, outputs=[out])
+    model.compile(optimizer="adam", loss='binary_crossentropy', metrics=['accuracy'])
+    return model
+
+
+def f_in(X, m=None):
+    """Preprocess input so it can be provided to a function"""
+    if m:
+        return [X.iloc[:m,i] for i in range(X.shape[1])]
+    else:
+        return [X.iloc[:,i] for i in range(X.shape[1])]
+
+def f_out(probs, threshold=0.5):
+    """Convert probabilities into classes"""
+    return list((probs >= threshold).astype(int).T[0])
+
+```
+
+
+```python
+model = build_model(x_train)
+
+model.fit(f_in(x_train), y_train, epochs=50, batch_size=512)
+```
+
+    Epoch 1/50
+    99/99 [==============================] - 1s 3ms/step - loss: 0.6227 - accuracy: 0.6459
+    Epoch 2/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.4600 - accuracy: 0.7812
+    Epoch 3/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3968 - accuracy: 0.8153
+    Epoch 4/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3789 - accuracy: 0.8215
+    Epoch 5/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3751 - accuracy: 0.8237
+    Epoch 6/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3771 - accuracy: 0.8235
+    Epoch 7/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3730 - accuracy: 0.8254
+    Epoch 8/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3675 - accuracy: 0.8312
+    Epoch 9/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3685 - accuracy: 0.8281
+    Epoch 10/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3620 - accuracy: 0.8313
+    Epoch 11/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3687 - accuracy: 0.8297
+    Epoch 12/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3698 - accuracy: 0.8292
+    Epoch 13/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3666 - accuracy: 0.8285
+    Epoch 14/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3649 - accuracy: 0.8305
+    Epoch 15/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3628 - accuracy: 0.8326
+    Epoch 16/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3669 - accuracy: 0.8306
+    Epoch 17/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3587 - accuracy: 0.8347
+    Epoch 18/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3639 - accuracy: 0.8306
+    Epoch 19/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3618 - accuracy: 0.8335
+    Epoch 20/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3628 - accuracy: 0.8315
+    Epoch 21/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3641 - accuracy: 0.8325
+    Epoch 22/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3634 - accuracy: 0.8310
+    Epoch 23/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3626 - accuracy: 0.8293
+    Epoch 24/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3659 - accuracy: 0.8298
+    Epoch 25/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3607 - accuracy: 0.8333
+    Epoch 26/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3600 - accuracy: 0.8321
+    Epoch 27/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3650 - accuracy: 0.8296
+    Epoch 28/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3626 - accuracy: 0.8317
+    Epoch 29/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3654 - accuracy: 0.8310
+    Epoch 30/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3659 - accuracy: 0.8322
+    Epoch 31/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3716 - accuracy: 0.8278
+    Epoch 32/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3631 - accuracy: 0.8326
+    Epoch 33/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3669 - accuracy: 0.8312
+    Epoch 34/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3604 - accuracy: 0.8325
+    Epoch 35/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3625 - accuracy: 0.8318
+    Epoch 36/50
+    99/99 [==============================] - 0s 2ms/step - loss: 0.3605 - accuracy: 0.8326
+    Epoch 37/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3595 - accuracy: 0.8334
+    Epoch 38/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3653 - accuracy: 0.8316
+    Epoch 39/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3591 - accuracy: 0.8350
+    Epoch 40/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3602 - accuracy: 0.8337
+    Epoch 41/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3617 - accuracy: 0.8316
+    Epoch 42/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3624 - accuracy: 0.8320
+    Epoch 43/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3624 - accuracy: 0.8328
+    Epoch 44/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3602 - accuracy: 0.8326
+    Epoch 45/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3610 - accuracy: 0.8337
+    Epoch 46/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3626 - accuracy: 0.8323
+    Epoch 47/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3634 - accuracy: 0.8326
+    Epoch 48/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3614 - accuracy: 0.8328
+    Epoch 49/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3610 - accuracy: 0.8332
+    Epoch 50/50
+    99/99 [==============================] - 0s 3ms/step - loss: 0.3590 - accuracy: 0.8332
+
+
+
+
+
+    <tensorflow.python.keras.callbacks.History at 0x7f1ee46da710>
+
+
+
+
+```python
+score = model.evaluate(f_in(x_test), y_test, verbose=1)
+print("Error %.4f: " % score[0])
+print("Accuracy %.4f: " % (score[1]*100))
+```
+
+    38/38 [==============================] - 0s 1ms/step - loss: 0.3630 - accuracy: 0.8292
+    Error 0.3630: 
+    Accuracy 82.9167: 
+
+
+
+```python
+probabilities = model.predict(f_in(x_test))
+pred = f_out(probabilities)
+```
+
+
+```python
+_= xai.metrics_plot(
+        y_test, 
+        probabilities)
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_15_0.png)
+    
+
+
+
+```python
+df.head()
+```
+
+
+
+
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>age</th>
+      <th>workclass</th>
+      <th>education</th>
+      <th>education-num</th>
+      <th>marital-status</th>
+      <th>occupation</th>
+      <th>relationship</th>
+      <th>ethnicity</th>
+      <th>gender</th>
+      <th>capital-gain</th>
+      <th>capital-loss</th>
+      <th>hours-per-week</th>
+      <th>loan</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>39</td>
+      <td>State-gov</td>
+      <td>Bachelors</td>
+      <td>13</td>
+      <td>Never-married</td>
+      <td>Adm-clerical</td>
+      <td>Not-in-family</td>
+      <td>White</td>
+      <td>Male</td>
+      <td>2174</td>
+      <td>0</td>
+      <td>40</td>
+      <td>&lt;=50K</td>
+    </tr>
+    <tr>
+      <th>1</th>
+      <td>50</td>
+      <td>Self-emp-not-inc</td>
+      <td>Bachelors</td>
+      <td>13</td>
+      <td>Married-civ-spouse</td>
+      <td>Exec-managerial</td>
+      <td>Husband</td>
+      <td>White</td>
+      <td>Male</td>
+      <td>0</td>
+      <td>0</td>
+      <td>13</td>
+      <td>&lt;=50K</td>
+    </tr>
+    <tr>
+      <th>2</th>
+      <td>38</td>
+      <td>Private</td>
+      <td>HS-grad</td>
+      <td>9</td>
+      <td>Divorced</td>
+      <td>Handlers-cleaners</td>
+      <td>Not-in-family</td>
+      <td>White</td>
+      <td>Male</td>
+      <td>0</td>
+      <td>0</td>
+      <td>40</td>
+      <td>&lt;=50K</td>
+    </tr>
+    <tr>
+      <th>3</th>
+      <td>53</td>
+      <td>Private</td>
+      <td>11th</td>
+      <td>7</td>
+      <td>Married-civ-spouse</td>
+      <td>Handlers-cleaners</td>
+      <td>Husband</td>
+      <td>Black</td>
+      <td>Male</td>
+      <td>0</td>
+      <td>0</td>
+      <td>40</td>
+      <td>&lt;=50K</td>
+    </tr>
+    <tr>
+      <th>4</th>
+      <td>28</td>
+      <td>Private</td>
+      <td>Bachelors</td>
+      <td>13</td>
+      <td>Married-civ-spouse</td>
+      <td>Prof-specialty</td>
+      <td>Wife</td>
+      <td>Black</td>
+      <td>Female</td>
+      <td>0</td>
+      <td>0</td>
+      <td>40</td>
+      <td>&lt;=50K</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+
+
+
+
+```python
+_ = xai.metrics_plot(
+    y_test, 
+    probabilities, 
+    df=x_test_display, 
+    cross_cols=["gender", "ethnicity"],
+    categorical_cols=categorical_cols)
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_17_0.png)
+    
+
+
+
+```python
+_ = [xai.metrics_plot(
+    y_test, 
+    probabilities, 
+    df=x_test_display, 
+    cross_cols=[p],
+    categorical_cols=categorical_cols) for p in protected]
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_18_0.png)
+    
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_18_1.png)
+    
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_18_2.png)
+    
+
+
+
+```python
+xai.confusion_matrix_plot(y_test, pred)
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_19_0.png)
+    
+
+
+
+```python
+xai.confusion_matrix_plot(y_test, pred, scaled=False)
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_20_0.png)
+    
+
+
+
+```python
+_ = xai.roc_plot(y_test, probabilities)
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_21_0.png)
+    
+
+
+
+```python
+_ = [xai.roc_plot(
+    y_test, 
+    probabilities, 
+    df=x_test_display, 
+    cross_cols=[p],
+    categorical_cols=categorical_cols) for p in protected]
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_22_0.png)
+    
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_22_1.png)
+    
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_22_2.png)
+    
+
+
+
+```python
+_= xai.pr_plot(y_test, probabilities)
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_23_0.png)
+    
+
+
+
+```python
+_ = [xai.pr_plot(
+    y_test, 
+    probabilities, 
+    df=x_test_display, 
+    cross_cols=[p],
+    categorical_cols=categorical_cols) for p in protected]
+```
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_24_0.png)
+    
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_24_1.png)
+    
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_24_2.png)
+    
+
+
+
+```python
+d = xai.smile_imbalance(
+    y_test, 
+    probabilities)
+```
+
+    /home/alejandro/miniconda3/lib/python3.7/site-packages/pandas/core/indexing.py:671: SettingWithCopyWarning: 
+    A value is trying to be set on a copy of a slice from a DataFrame
+    
+    See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
+      self._setitem_with_indexer(indexer, value)
+    WARNING:root:No categorical_cols passed so inferred using np.object, np.int8 and np.bool: Index(['target', 'manual-review'], dtype='object'). If you see an error these are not correct, please provide them as a string array as: categorical_cols=['col1', 'col2', ...]
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_25_1.png)
+    
+
+
+
+```python
+d[["correct", "incorrect"]].sum().plot.bar()
+```
+
+
+
+
+    <matplotlib.axes._subplots.AxesSubplot at 0x7f1effc41fd0>
+
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_26_1.png)
+    
+
+
+
+```python
+d = xai.smile_imbalance(
+    y_test, 
+    probabilities,
+    threshold=0.75,
+    display_breakdown=True)
+```
+
+    WARNING:root:No categorical_cols passed so inferred using np.object, np.int8 and np.bool: Index(['target', 'manual-review'], dtype='object'). If you see an error these are not correct, please provide them as a string array as: categorical_cols=['col1', 'col2', ...]
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_27_1.png)
+    
+
+
+
+```python
+display_bars = ["true-positives", "true-negatives", 
+                "false-positives", "false-negatives"]
+d[display_bars].sum().plot.bar()
+```
+
+
+
+
+    <matplotlib.axes._subplots.AxesSubplot at 0x7f1effecd990>
+
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_28_1.png)
+    
+
+
+
+```python
+d = xai.smile_imbalance(
+    y_test, 
+    probabilities,
+    bins=9,
+    threshold=0.75,
+    manual_review=0.00001,
+    display_breakdown=False)
+```
+
+    WARNING:root:No categorical_cols passed so inferred using np.object, np.int8 and np.bool: Index(['target', 'manual-review'], dtype='object'). If you see an error these are not correct, please provide them as a string array as: categorical_cols=['col1', 'col2', ...]
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_29_1.png)
+    
+
+
+
+```python
+d[["correct", "incorrect", "manual-review"]].sum().plot.bar()
+```
+
+
+
+
+    <matplotlib.axes._subplots.AxesSubplot at 0x7f1ec01c9850>
+
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_30_1.png)
+    
+
+
+
+```python
+def get_avg(x, y):
+    return model.evaluate(f_in(x), y, verbose=0)[1]
+
+imp = xai.feature_importance(x_test, y_test, get_avg)
+
+imp.head()
+```
+
+
+
+
+<div>
+<style scoped>
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+  <thead>
+    <tr style="text-align: right;">
+      <th></th>
+      <th>age</th>
+      <th>workclass</th>
+      <th>education</th>
+      <th>education-num</th>
+      <th>marital-status</th>
+      <th>occupation</th>
+      <th>relationship</th>
+      <th>ethnicity</th>
+      <th>gender</th>
+      <th>capital-gain</th>
+      <th>capital-loss</th>
+      <th>hours-per-week</th>
+    </tr>
+  </thead>
+  <tbody>
+    <tr>
+      <th>0</th>
+      <td>0.01825</td>
+      <td>0.002167</td>
+      <td>0.000833</td>
+      <td>0.046</td>
+      <td>0.065667</td>
+      <td>0.019083</td>
+      <td>0.02425</td>
+      <td>0.00275</td>
+      <td>0.000833</td>
+      <td>0.05075</td>
+      <td>0.007833</td>
+      <td>0.014417</td>
+    </tr>
+  </tbody>
+</table>
+</div>
+
+
+
+
+    
+![png](XAI%20Tabular%20Data%20Example%20Usage_files/XAI%20Tabular%20Data%20Example%20Usage_31_1.png)
+    
+
+
+
+```python
+
+```
diff --git a/examples/XAI Tabular Data Example Usage.ipynb b/examples/XAI Tabular Data Example Usage.ipynb
index efe1d47..bedb1a3 100644
--- a/examples/XAI Tabular Data Example Usage.ipynb	
+++ b/examples/XAI Tabular Data Example Usage.ipynb	
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -64,7 +64,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 17,
    "metadata": {
     "scrolled": true
    },
@@ -213,7 +213,7 @@
        "32560             0              40    >50K  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -225,7 +225,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -235,14 +235,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 19,
    "metadata": {
     "scrolled": false
    },
    "outputs": [
     {
      "data": {
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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -259,12 +259,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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sPfHEEwwdOrRuds1jjjmG5cuX89RTT3HCCSfU1Su+8c6xxx5LmzZt6NWrF2+//TYA//jHPzjxxBNp27Yt3bp14/DDDwfglVde4cUXX+SII44ACjcQqr0HAdSf+tvMrBRNJoeIOLGJ9d2LlgM4q5F6o4BRDZRPAypiOsqG5qn65JNP6NSpU93sqmsqnnK7ePuGhntEBHvuuSf//Oc/G9xX8dTfZmal8AjpDB100EH89a9/Zfny5XzwwQfcd999bLHFFvTo0aNuSuyI4Pnnn1/rfg4++GDGjh3L6tWrWbBgAY8++ihQmH564cKFdclh5cqVzJo1a8O+KTPbKFV0l5aW7nq63377MWTIEPr06cPnPvc5qqur6dixI7fffjvf/e53ufzyy1m5ciXDhg2rm6q5IccddxyPPPIIvXv3rrvHM8Cmm27KPffcw9lnn83SpUtZtWoV5557LnvuuWdLvUUz20h4yu6MffDBB3zmM5/ho48+4uCDD2bkyJH17pVgtj48ZbdlbV2n7K7oM4c8jBgxgtmzZ7N8+XKGDx/uxGBmZcnJIWN33HFH3iGYmZWs4i5Il2szmdma/F22PFVUcmjfvj2LFi3yfyorexHBokWLaN++fd6h2EaqopqVqqqqqKmpYeHChXmHYlay9u3bU1VV1XRFsw2gopLDJptsQo8ePfIOw8ys7FVUs5KZmWXDycHMzFKcHMzMLMXJwczMUpwczMwsxcnBzMxSnBzMzCzFycHMzFKcHMzMLMXJwczMUppMDpJGSXpH0otFZb+R9LKkFyT9RVKnonU/ljRX0iuSBhWVD07K5kq6sKi8h6QpkuZIukvSplm+QTMzW3/rcuZwGzB4jbKJwF4RsTfwKvBjAEm9gGHAnsk2N0hqK6ktcD1wJNALODGpC/Ar4OqI6AksAU4v6R2ZmVnJmkwOEfEPYPEaZQ9HxKrk6dNA7dSRQ4GxEbEiIl4H5gL9k7+5EfFaRHwMjAWGShJwOHBPsv1o4NgS35OZmZUoi2sOpwEPJMs7APOL1tUkZY2VbwO8W5RoassbJGmEpGmSpnlabjOzDaek5CDpp8Aq4PbaogaqRTPKGxQRIyOiOiKqu3Tpsr7hmpnZOmr2/RwkDQe+AgyIT2+9VgPsWFStCngrWW6o/D9AJ0ntkrOH4vpmZpaTZp05SBoMXAAMiYiPilZNAIZJ2kxSD6An8AwwFeiZ9EzalMJF6wlJUnkUOD7ZfjgwvnlvxczMsrIuXVnvBP4J7CapRtLpwB+ADsBESTMk3QQQEbOAu4HZwIPAWRGxOjkr+B7wEPAScHdSFwpJ5geS5lK4BnFLpu/QzMzWW5PNShFxYgPFjf6AR8QvgV82UH4/cH8D5a9R6M1kZmathEdIm5lZipODmZmlODmYmVmKk4OZmaU4OZiZWYqTg5mZpTg5mJlZipODmZmlODmYmVmKk4OZmaU4OZiZWYqTg5mZpTg5mJlZipODmZmlODmYmVmKk4OZmaU4OZiZWYqTg5mZpazLPaRHSXpH0otFZZ0lTZQ0J3ncOimXpOskzZX0gqR9i7YZntSfI2l4UXk/STOTba6TpKzfpJmZrZ91OXO4DRi8RtmFwKSI6AlMSp4DHAn0TP5GADdCIZkAFwP7U7hf9MW1CSWpM6JouzVfy8zMWliTySEi/gEsXqN4KDA6WR4NHFtUPiYKngY6SeoKDAImRsTiiFgCTAQGJ+u2ioh/RkQAY4r2ZWZmOWnuNYftI2IBQPK4XVK+AzC/qF5NUra28poGyhskaYSkaZKmLVy4sJmhm5lZU7K+IN3Q9YJoRnmDImJkRFRHRHWXLl2aGaKZmTWlucnh7aRJiOTxnaS8BtixqF4V8FYT5VUNlJuZWY6amxwmALU9joYD44vKT056LR0ALE2anR4CBkraOrkQPRB4KFn3vqQDkl5KJxfty8zMctKuqQqS7gQOBbaVVEOh19GVwN2STgfeAE5Iqt8PHAXMBT4CTgWIiMWSLgOmJvUujYjai9zfpdAjanPggeTPzMxy1GRyiIgTG1k1oIG6AZzVyH5GAaMaKJ8G7NVUHGZm1nKaTA4bk333vyHvEJr07JQz8w7BzDYCnj7DzMxSnBzMzCzFycHMzFKcHMzMLMXJwczMUpwczMwsxcnBzMxSnBzMzCzFycHMzFKcHMzMLMXJwczMUpwczMwsxcnBzMxSnBzMzCzFycHMzFKcHMzMLMXJwczMUpwczMwspaTkIOk8SbMkvSjpTkntJfWQNEXSHEl3Sdo0qbtZ8nxusr570X5+nJS/ImlQaW/JzMxK1ezkIGkH4GygOiL2AtoCw4BfAVdHRE9gCXB6ssnpwJKI2AW4OqmHpF7JdnsCg4EbJLVtblxmZla6UpuV2gGbS2oHbAEsAA4H7knWjwaOTZaHJs9J1g+QpKR8bESsiIjXgblA/xLjMjOzEjQ7OUTEm8BVwBsUksJSYDrwbkSsSqrVADskyzsA85NtVyX1tykub2CbeiSNkDRN0rSFCxc2N3QzM2tCKc1KW1M46u8BdAO2BI5soGrUbtLIusbK04URIyOiOiKqu3Tpsv5Bm5nZOimlWenLwOsRsTAiVgJ/Br4AdEqamQCqgLeS5RpgR4BkfUdgcXF5A9uYmVkOSkkObwAHSNoiuXYwAJgNPAocn9QZDoxPlickz0nWPxIRkZQPS3oz9QB6As+UEJeZmZWoXdNVGhYRUyTdAzwLrAKeA0YC9wFjJV2elN2SbHIL8EdJcymcMQxL9jNL0t0UEssq4KyIWN3cuMzMrHQqHLyXn+oOHWJav36Z7nPas62/Nat63255h2A5KIfvJvj7WQ40efL0iKhuqp5HSJuZWUqzm5Vyt9tu8Nhjme5yxP43ZLq/DeHZx87MOwTLQTl8N8Hfz7KghjqIpvnMwczMUpwczMwsxcnBzMxSnBzMzCzFycHMzFKcHMzMLMXJwczMUpwczMwsxcnBzMxSnBzMzCylfKfPMDNrplj0x7xDWCfa5lu5vbbPHMzMLMXJwczMUpwczMwsxcnBzMxSnBzMzCylpOQgqZOkeyS9LOklSQdK6ixpoqQ5yePWSV1Juk7SXEkvSNq3aD/Dk/pzJA0v9U2ZmVlpSj1zuBZ4MCJ2B/oALwEXApMioicwKXkOcCTQM/kbAdwIIKkzcDGwP9AfuLg2oZiZWT6anRwkbQUcDNwCEBEfR8S7wFBgdFJtNHBssjwUGBMFTwOdJHUFBgETI2JxRCwBJgKDmxuXmZmVrpQzh88DC4FbJT0n6WZJWwLbR8QCgORxu6T+DsD8ou1rkrLGylMkjZA0TdK0hQsXlhC6mZmtTSnJoR2wL3BjROwDfMinTUgNaeiu1rGW8nRhxMiIqI6I6i5duqxvvGZmto5KSQ41QE1ETEme30MhWbydNBeRPL5TVH/Hou2rgLfWUm5mZjlpdnKIiH8D8yXtlhQNAGYDE4DaHkfDgfHJ8gTg5KTX0gHA0qTZ6SFgoKStkwvRA5MyMzPLSakT730fuF3SpsBrwKkUEs7dkk4H3gBOSOreDxwFzAU+SuoSEYslXQZMTepdGhGLS4zLzMxKUFJyiIgZQHUDqwY0UDeAsxrZzyhgVCmxmJlZdjxC2szMUpwczMwsxcnBzMxSnBzMzCzFycHMzFKcHMzMLMXJwczMUpwczMwsxcnBzMxSnBzMzCzFycHMzFKcHMzMLMXJwczMUpwczMwsxcnBzMxSnBzMzCzFycHMzFKcHMzMLKXk5CCpraTnJP0ted5D0hRJcyTdldxfGkmbJc/nJuu7F+3jx0n5K5IGlRqTmZmVJoszh3OAl4qe/wq4OiJ6AkuA05Py04ElEbELcHVSD0m9gGHAnsBg4AZJbTOIy8zMmqmk5CCpCjgauDl5LuBw4J6kymjg2GR5aPKcZP2ApP5QYGxErIiI14G5QP9S4jIzs9KUeuZwDXA+8EnyfBvg3YhYlTyvAXZIlncA5gMk65cm9evKG9imHkkjJE2TNG3hwoUlhm5mZo1pdnKQ9BXgnYiYXlzcQNVoYt3atqlfGDEyIqojorpLly7rFa+Zma27diVs+0VgiKSjgPbAVhTOJDpJapecHVQBbyX1a4AdgRpJ7YCOwOKi8lrF25iZWQ6afeYQET+OiKqI6E7hgvIjEXES8ChwfFJtODA+WZ6QPCdZ/0hERFI+LOnN1APoCTzT3LjMzKx0pZw5NOYCYKyky4HngFuS8luAP0qaS+GMYRhARMySdDcwG1gFnBURqzdAXGZmto4ySQ4R8RjwWLL8Gg30NoqI5cAJjWz/S+CXWcRiZmal8whpMzNLcXIwM7MUJwczM0txcjAzsxQnBzMzS3FyMDOzFCcHMzNLcXIwM7MUJwczM0txcjAzsxQnBzMzS3FyMDOzFCcHMzNLcXIwM7MUJwczM0txcjAzsxQnBzMzS3FyMDOzFCcHMzNLaXZykLSjpEclvSRplqRzkvLOkiZKmpM8bp2US9J1kuZKekHSvkX7Gp7UnyNpeOlvy8zMSlHKmcMq4IcRsQdwAHCWpF7AhcCkiOgJTEqeAxwJ9Ez+RgA3QiGZABcD+wP9gYtrE4qZmeWj2ckhIhZExLPJ8vvAS8AOwFBgdFJtNHBssjwUGBMFTwOdJHUFBgETI2JxRCwBJgKDmxuXmZmVLpNrDpK6A/sAU4DtI2IBFBIIsF1SbQdgftFmNUlZY+UNvc4ISdMkTVu4cGEWoZuZWQNKTg6SPgPcC5wbEe+trWoDZbGW8nRhxMiIqI6I6i5duqx/sGZmtk5KSg6SNqGQGG6PiD8nxW8nzUUkj+8k5TXAjkWbVwFvraXczMxyUkpvJQG3AC9FxO+KVk0AanscDQfGF5WfnPRaOgBYmjQ7PQQMlLR1ciF6YFJmZmY5aVfCtl8EvgXMlDQjKfsJcCVwt6TTgTeAE5J19wNHAXOBj4BTASJisaTLgKlJvUsjYnEJcZmZWYmanRwi4gkavl4AMKCB+gGc1ci+RgGjmhuLmZllyyOkzcwsxcnBzMxSnBzMzCzFycHMzFKcHMzMLKWUrqxmjZrac/e8Q1gn+815Oe8QzFolnzmYmVmKk4OZmaU4OZiZWYqTg5mZpTg5mJlZipODmZmlODmYmVmKk4OZmaU4OZiZWYqTg5mZpTg5mJlZipODmZmltJrkIGmwpFckzZV0Yd7xmJltzFpFcpDUFrgeOBLoBZwoqVe+UZmZbbxaRXIA+gNzI+K1iPgYGAsMzTkmM7ONVmu5n8MOwPyi5zXA/mtWkjQCGJE8/UDSKy0QW6m2Bf6T1c6ks7LaVTnK9LMEQMp0d2Um88/T38+Mv5+cnO3uCj63LpVaS3Jo6H9opAoiRgIjN3w42ZE0LSKq846jEvizzJY/z2xV2ufZWpqVaoAdi55XAW/lFIuZ2UavtSSHqUBPST0kbQoMAybkHJOZ2UarVTQrRcQqSd8DHgLaAqMiYlbOYWWlrJrBWjl/ltny55mtivo8FZFq2jczs41ca2lWMjOzVsTJwczMUpwczMwspVVckDZrjKTtgC8C3YBlwIvAtIj4JNfAzCqcL0hnSFIVhW64X6L+j9l9wAP+QVt3kg4DLgQ6A88B7wDtgV2BnYF7gN9GxHu5BVlGJB0IfJPCd7Mr9b+bf4qIpTmGV5YkVZP+v/73iFica2AZcXLIiKRbKUwD8jdgGvV/zA4D+gEXRsQ/cguyjEj6DfD7iHijgXXtgK8AbSPi3hYPrsxIeoDCoNLxNPzdPAb4XUR4bNE6kHQKcDbwOjCd+p/nFykkiZ839N0tJ04OGZG0V0S8uJb1mwI7RcTcFgyrbEnq2NjRrKT9ImJqS8dUriRtGxFrnfNnXepYgQoTSI2KiGWNrO8LbBMRk1o2smz5gnR2uja2QtKvIuJjJ4b1MknS1msWShoI/DmHeMrZ0Q0VStpE0p0ATgzrZfxaEsMxETGj3BMDODlk6XpJ9f4TSmoj6TagTz4hlbX/CzwqqUttgaT/Ssob/LGzRp2TzGhcR9KWwP3AR/mEVNYmSeq+ZqGk04BrWjyaDcS9lbIzEHhQ0mYR8WdJ7SlcNF1KoU3X1kNE/D9Jy4FHkrOFbwDfAQ6LiHm5Bld+vkzhu9k+Iq5LEu79wKSI8F0X1995wERY6kTnAAAPUUlEQVRJR0XEHABJPwb+Czgk18gy5OSQkYiYJ+nLwENJ98tvAVMi4gc5h1a2IuKPSYJ4DngD+GJELMo5rLITEYuT7+YDkrpRuJHWjRFxXc6hlaWIuF/SCgqf57HAGcB+wMERsSTf6LLjC9IZkbRvstgVGANMBH5duz4ins0jrnIlaSaFe3qIws1JFgIfJs8jIvbOMbyyIumryWIH4HfAJAp3WwQgInwNpxkkHQSMA54Cvh4Ry3MOKVNODhmR9OhaVkdEHN5iwVQASWu9W1VE/G9LxVLukm7WjYmIOK3FgqkAkt7n0wOXzYCVwGo+PXDZKsfwMuPkYK2apO0pjB8J4K2IeDvnkMw2Ck4OGZK0O4X23LofMwrd3l7ONbAylPQVvwnoCLyZFFcB7wJnuplu/UgaBBxL/e/muIh4KNfAypQkAf2p/3k+ExX0g+rkkBFJFwAnUmjLrUmKa6fTGBsRV+YVWzmSNAP4PxExZY3yA4D/GxHuHryOJF1DYfTuGOp/N08G5kTEOXnFVo6S3nM3AHOof+CyC4UDl4fzii1LTg4ZkfQqsGdErFyjfFNgVkT0zCey8iRpTmOfmaS5EbFLS8dUriS9GhG7NlAu4FV/N9ePpJeAI9fsUi2pB3B/ROyRS2AZc1fW7HxCYQKuNS+Udk3W2fp5QNJ9FI525ydlO1I42n0wt6jK03JJ/SPimTXK9wMqqodNC2nHp2dgxd4ENmnhWDYYJ4fsnEth5OQcPv0x24nCqeb3couqTEXE2ZKO5NNrOKLwH/L6iLg/1+DKzynAjZI68OmP2o7Ae8k6Wz+jgKmSxlL/wGUYcEtuUWXMzUoZktSGTy9S1f6YTY2I1bkGZgZI+ixF382I+HfOIZUtSXuQPnCZEBGzcw0sQ04OG5CkzpUyt3tLk7R3RLyQLG8CXEAh8b4IXB4RnhOomSR9hsIF6tci4t2847HWyRPvZUTSz4qWeyUXqKdLmidp/xxDK1e3FS1fSaF57rfA5hS6uNo6knRD0fJBwGwKn+VMSUflFliZkjS4aLmjpJslvSDpjmRcTkVwcsjOV4uWfwOcExE9gK8DV+cTUllT0fIA4NsRMRn4AdA3n5DK1gFFy5cBx0bEYRQmibs0n5DK2n8XLf8W+DeFyTWnUpg1uCL4gvSG0S0iHgCIiGckbZ53QGWoo6TjKBzAbFbbRTgiQpLbQptvq9oBhBHxmqS2eQdU5qojovZg5WpJw3ONJkNODtn5vKQJFI54qyRtUdQuXjHd21rQZGBIsvy0pO0j4u3koqpvTLN+dpf0AoXvZndJW0fEkqQDhb+b6287ST+g8HluJUlFI6MrpjXGySE7Q9d43gbq5ga6seXDKW8RcWoj5f+m0Mxk627NQVkfJI+dgYtaOJZK8P8ozHALMBrYFliYHLjMyC2qjLm3kpUFSdXACxHxcd6xmG0MKuYUqDWRdH7xo5VGUleSOfPzjqXcJfMs1T1a6SQdl3QPrihODhvGsDUerTTDKZy+n5F3IBXg4OSxYm5nmSdJOwN3A9/MO5asOTlsWGq6iq2DbwE/BjZN/jOatRanAb9KHiuKk4O1apIOA16OiP8AtwKn5xySGQBJN+ATKCSHpZIqahp5Jwdr7U7n08nM7gJOSLpgmuXtKOCpiHifwmR8FdXs6f9k1mpJ6kRhdG/tgML3gKcp/Kc0y1vxgctfgKOS+7dUBI9z2DAeSx4fzTOIcpdMCrfLGmXfyimcSnFH8nh7rlGUueTApVNEPA4QEcsl3QMcToXcb8TjHMzMLMXNShmStMWaF6Uk7SRph7xiMgOQtFVy86Tisr6SdssrJmvdnByytRL4s6Qti8pupnCrULM8vQ9cI6lzUdkNjVU2c3LIUDJz6F+Ab0DhrAHoEhHTcg3MNnrJxHB3kAzWkrR7UvxKroFZq+XkkL2bgdpJ406m0DffrDUYRWG0ORTuHV0x9zu27Lm3UsYi4mVJSNoVOBE4KO+YzAAiYr6khZL2A44D9sk7Jmu9fOawYdxC4QzihYhYkncwZkVupnA2+w/fh9vWxslhw7gb6INP2zMnabSkGyXtlXcsZWo8sBoYmXcg1rp5nIOVlaRJZCegf0RckHc8ZrUk/Z1Cj8XrI+JvecdTKicHKwuStoyID/OOw6wxkrpR6LZ+QERcn3c8pXKzkrVqkr4gaTbwUvK8jyT3z7dWQdLmtQMJI+KtiJheCYkBnBys9bsaGAQsAoiI5/n0hjVmuZF0DIV7Rj+YPO8raUK+UWXHycFavYiYv0bR6lwCMavvEqA/8C5ARMwAuucYT6Y8zsFau/mSvgBEMh3y2SRNTGY5WxURS6XKvOGjzxystfsOcBawA1AD9E2em+XtRUn/BbSV1FPS74Gn8g4qK+6tZGbWDJK2AH4KDKRwv/iHgMsiYnmugWXEyWEDkzQa+IhC3+cX846nXCRHYY1+OSPi7BYMpyJVWr98y5avOWx4f6AwaOtbgAdtrTvPZLvhnUzSLz/vQMqJpL+y9gOXIS0YzgbjM4cNxIO2rDWStDmwk6fqbj5Jh6xtfURMbqlYNiQnh4wlPWtuBj4TETsld4b7PxFxZs6hlSVJXSiccfUC2teWR8ThuQVVppJ++VcBm0ZED0l9gUsr5UjXsuXeStnzoK1s3U6h62oP4BfAPGBqngGVsUuo4H75LS3poXSPpNmSXqv9yzuurDg5bAAetJWpbSLiFmBlREyOiNNwG3lzrYqIpXkHUUFuBW4EVgGHAWOAP+YaUYacHLJXb9CWpB/hQVulWJk8LpB0tKR9gKo8AypjFd0vPwebR8QkCs3z/xsRlwAV09zp5JA9D9rK1uWSOgI/BH5E4XrOefmGVLa+D+wJrADuBN4Dzs01ovK2XFIbYI6k70k6Dtgu76Cy4gvSZmbNkNxb5CWgE3AZ0BH4dUQ8nWtgGXFyyIgHbW0YknpQOOLtTtG4HPewWXcbS798y5YHwWXHg7Y2jHEUbrf6V+CTnGMpV1flHUAlaWpa7kpJtj5zsFZN0pSI2D/vOMxqSVoIzKdw3WYKhXmV6ngQnDXIg7aylfSu6Qk8TOFCKgAR8WxuQZUpST2BK0h/Nz+fW1BlSFJb4AjgRGBv4D7gzoiYlWtgGXOzUvZuB+4CjqbQc2k4sDDXiMpbbwrzUh3Op81KQQV1GWxBtwIXUxioeRhwKmsc9VrTImI1hbu/PShpMwpJ4jFJl0bE7/ONLjs+c8iYpOkR0U/SCxGxd1I2OSLWOh+LNUzSy8DeEfFx3rGUu6Lv5syI6J2UPR4RX8o7tnKTJIWjKSSG7sAEYFREvJlnXFnymUP26g3aAt7Cg7ZK8TyFroLv5B1IBajXLx94kwrql99Skmn49wIeAH5RqVPx+8whY5K+AjwO7Aj8HtiKwheoYm483pIkPUahXXcq9a85VESPkJZU6f3yW4qkT4DaGZeLf0AFRERs1fJRZc/JwVq1xqZHrpQeIWatlZNDxjxoK3uSPgf0jIi/J7dmbBsR7+cdV7nYWPrlW7Z8zSF7HrSVIUnfBkYAnYGdKcxZdRMwIM+4ysyBrKVfvllDfOaQMQ/aypakGRTuQTAlIvZJyup621jTNpZ++ZYtz8qavWslXSzpQEn71v7lHVQZW1HcjVVSO9YyT5ClRcTqiHgwIoZTuBfGXAr98r+fc2hlSVKTZ17rUqe1c7NS9jxoK1uTJf0E2FzSEcCZFJrsbD000C//OuDPecZUxh6VdC8wPiLeqC2UtClwEIWBr48Ct+UTXjbcrJQxD9rKVtIv/3RgIIW28oeAm8Nf3HW2Rr/8sZXaL7+lSGoPnAacROH2te9SmI6kLYVpXq5PbsFa1pwcMibpLuD7EeFBWyWQtFPxUZk138bSLz8PkjYBtgWWRcS7eceTJSeHjHnQVjYkPRsR+ybL90bE1/KOyWxj4msO2bs47wAqRPEFPc8aatbCnBwyFhGTGxq0lXdcZSgaWTazFuBmpYwVD9qKiJ2TOfRviggP2loPklZTaCcXsDnwUe0q3E5utsH5zCF7Z5EM2gKIiDmSPPPleooIn21lRJKa6t21LnVs4+JBcNnzoC1rbR6V9H1JOxUXStpU0uFJV9fhOcVmrZTPHLLnQVvW2gym0C//zmRiyDX75V9dCf3yLVu+5pAxD9qy1qyS++VbtpwcMuJBW9lyO7lZvnzNITvjaheSeVesNG4nN8uRrzlkx4O2suV2crMcuVkpI2tM91C3bKVzO7lZy3NyyIgHbZlZJXFyMDOzFF+QNjOzFCcHMzNLcXIwM7MUJ4eMbCw3HTezjYOTQ3Y8aMvMKoZ7K2VkY7npuJltHJwcNgAP2jKzcufkYGZmKb7mYGZmKU4OZmaW4uRg1gySbpN0fAnbnyLpD1nGZJYlJwezFpDcS9ysbDg5WMWT9HNJL0uaKOlOST+StLOkByVNl/S4pN2TurdJuk7SU5Jeqz07UMEfJM2WdB+wXdH++0manOzrIUldk/LHJP23pMnAOWuJ73OSJkl6IXncKSk/RtIUSc9J+ruk7ZPySySNSvb/mqSzN9ynZxsrJweraJKqga8B+wBfBaqTVSOB70dEP+BHwA1Fm3UFDgK+AlyZlB0H7Ab0Br4NfCHZ/ybA74Hjk32NAn5ZtK9OEXFIRPx2LWH+ARgTEXsDtwPXJeVPAAdExD7AWOD8om12BwYB/YGLkzjMMuNTXat0BwHjI2IZgKS/Uhic+AXgf4pmNNmsaJtxEfEJMLv2aB04GLgzIlYDb0l6JCnfDdgLmJjsqy2woGhfd61DjAdSSFwAfwR+nSxXAXclZyKbAq8XbXNfRKwAVkh6B9geqFmH1zJbJ04OVukams+qDfBuRPRtZJsVjWzf0KAgAbMi4sBG9vVh0yGm1L7O74HfRcQESYcClzQS42r8f9ky5mYlq3RPAMdIai/pM8DRFO7S97qkE6DuekKfJvbzD2CYpLbJkfxhSfkrQBdJByb72kTSng3tQNJxkq5oYNVTwLBk+aQkZoCOwJvJsuflshbl5GAVLSKmAhOA54E/A9OApRR+hE+X9DwwCxjaxK7+AswBZgI3ApOT/X8MHA/8KtnXDJLrEQ3YGXivgfKzgVMlvQB8i08vXl9CoenrceA/Tb1Xsyx5+gyreJI+ExEfSNqCwhnAiIh4Noc4/gScFxELW/q1zdaXk4NVPEl3AL0oXIgeHRENNe2YWREnBzMzS/E1BzMzS3FyMDOzFCcHMzNLcXIwM7MUJwczM0v5/+J+5aBWfq/dAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -281,14 +281,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "metadata": {
     "scrolled": false
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -305,7 +305,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 22,
    "metadata": {
     "scrolled": true
    },
@@ -358,20 +358,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/alejandro/anaconda3/envs/xai/lib/python3.7/site-packages/scipy/stats/stats.py:245: RuntimeWarning: The input array could not be properly checked for nan values. nan values will be ignored.\n",
-      "  \"values. nan values will be ignored.\", RuntimeWarning)\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -388,12 +380,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -410,7 +402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -422,7 +414,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -459,7 +451,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -467,10 +459,9 @@
     "from sklearn.model_selection import train_test_split\n",
     "from sklearn.metrics import classification_report, mean_squared_error, roc_curve, auc\n",
     "\n",
-    "from keras.layers import Input, Dense, Flatten, \\\n",
-    "    Concatenate, concatenate, Dropout, Lambda\n",
-    "from keras.models import Model, Sequential\n",
-    "from keras.layers.embeddings import Embedding\n",
+    "from tensorflow.keras.layers import Input, Dense, Flatten, \\\n",
+    "    Concatenate, concatenate, Dropout, Lambda, Embedding\n",
+    "from tensorflow.keras.models import Model, Sequential\n",
     "\n",
     "def build_model(X):\n",
     "    input_els = []\n",
@@ -508,7 +499,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 30,
    "metadata": {
     "scrolled": true
    },
@@ -518,114 +509,114 @@
      "output_type": "stream",
      "text": [
       "Epoch 1/50\n",
-      "50234/50234 [==============================] - 2s 31us/step - loss: 0.5588 - acc: 0.7166\n",
+      "99/99 [==============================] - 1s 3ms/step - loss: 0.6227 - accuracy: 0.6459\n",
       "Epoch 2/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.4304 - acc: 0.7980\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.4600 - accuracy: 0.7812\n",
       "Epoch 3/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3880 - acc: 0.8199\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3968 - accuracy: 0.8153\n",
       "Epoch 4/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3778 - acc: 0.8243\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3789 - accuracy: 0.8215\n",
       "Epoch 5/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3739 - acc: 0.8264\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3751 - accuracy: 0.8237\n",
       "Epoch 6/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3705 - acc: 0.8283\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3771 - accuracy: 0.8235\n",
       "Epoch 7/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3689 - acc: 0.8299\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3730 - accuracy: 0.8254\n",
       "Epoch 8/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3681 - acc: 0.8308\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3675 - accuracy: 0.8312\n",
       "Epoch 9/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3687 - acc: 0.8306\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3685 - accuracy: 0.8281\n",
       "Epoch 10/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3661 - acc: 0.8325\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3620 - accuracy: 0.8313\n",
       "Epoch 11/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3663 - acc: 0.8322\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3687 - accuracy: 0.8297\n",
       "Epoch 12/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3663 - acc: 0.8329\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3698 - accuracy: 0.8292\n",
       "Epoch 13/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3646 - acc: 0.8320\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3666 - accuracy: 0.8285\n",
       "Epoch 14/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3642 - acc: 0.8334\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3649 - accuracy: 0.8305\n",
       "Epoch 15/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3647 - acc: 0.8320\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3628 - accuracy: 0.8326\n",
       "Epoch 16/50\n",
-      "50234/50234 [==============================] - 0s 8us/step - loss: 0.3639 - acc: 0.8323\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3669 - accuracy: 0.8306\n",
       "Epoch 17/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3643 - acc: 0.8332\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3587 - accuracy: 0.8347\n",
       "Epoch 18/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3639 - acc: 0.8324\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3639 - accuracy: 0.8306\n",
       "Epoch 19/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3632 - acc: 0.8334\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3618 - accuracy: 0.8335\n",
       "Epoch 20/50\n",
-      "50234/50234 [==============================] - 0s 8us/step - loss: 0.3637 - acc: 0.8340\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3628 - accuracy: 0.8315\n",
       "Epoch 21/50\n",
-      "50234/50234 [==============================] - 0s 8us/step - loss: 0.3635 - acc: 0.8346\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3641 - accuracy: 0.8325\n",
       "Epoch 22/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3627 - acc: 0.8344\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3634 - accuracy: 0.8310\n",
       "Epoch 23/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3628 - acc: 0.8342\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3626 - accuracy: 0.8293\n",
       "Epoch 24/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3628 - acc: 0.8343\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3659 - accuracy: 0.8298\n",
       "Epoch 25/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3621 - acc: 0.8342\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3607 - accuracy: 0.8333\n",
       "Epoch 26/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3622 - acc: 0.8348\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3600 - accuracy: 0.8321\n",
       "Epoch 27/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3629 - acc: 0.8343\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3650 - accuracy: 0.8296\n",
       "Epoch 28/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3628 - acc: 0.8344\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3626 - accuracy: 0.8317\n",
       "Epoch 29/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3623 - acc: 0.8345\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3654 - accuracy: 0.8310\n",
       "Epoch 30/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3619 - acc: 0.8347\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3659 - accuracy: 0.8322\n",
       "Epoch 31/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3616 - acc: 0.8345\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3716 - accuracy: 0.8278\n",
       "Epoch 32/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3617 - acc: 0.8352\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3631 - accuracy: 0.8326\n",
       "Epoch 33/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3612 - acc: 0.8336\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3669 - accuracy: 0.8312\n",
       "Epoch 34/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3606 - acc: 0.8342\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3604 - accuracy: 0.8325\n",
       "Epoch 35/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3616 - acc: 0.8350\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3625 - accuracy: 0.8318\n",
       "Epoch 36/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3608 - acc: 0.8347\n",
+      "99/99 [==============================] - 0s 2ms/step - loss: 0.3605 - accuracy: 0.8326\n",
       "Epoch 37/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3603 - acc: 0.8358\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3595 - accuracy: 0.8334\n",
       "Epoch 38/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3605 - acc: 0.8358\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3653 - accuracy: 0.8316\n",
       "Epoch 39/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3607 - acc: 0.8358\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3591 - accuracy: 0.8350\n",
       "Epoch 40/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3605 - acc: 0.8347\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3602 - accuracy: 0.8337\n",
       "Epoch 41/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3602 - acc: 0.8350\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3617 - accuracy: 0.8316\n",
       "Epoch 42/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3600 - acc: 0.8357\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3624 - accuracy: 0.8320\n",
       "Epoch 43/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3598 - acc: 0.8359\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3624 - accuracy: 0.8328\n",
       "Epoch 44/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3601 - acc: 0.8345\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3602 - accuracy: 0.8326\n",
       "Epoch 45/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3597 - acc: 0.8351\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3610 - accuracy: 0.8337\n",
       "Epoch 46/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3598 - acc: 0.8359\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3626 - accuracy: 0.8323\n",
       "Epoch 47/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3599 - acc: 0.8355\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3634 - accuracy: 0.8326\n",
       "Epoch 48/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3598 - acc: 0.8339\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3614 - accuracy: 0.8328\n",
       "Epoch 49/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3592 - acc: 0.8353\n",
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3610 - accuracy: 0.8332\n",
       "Epoch 50/50\n",
-      "50234/50234 [==============================] - 0s 7us/step - loss: 0.3606 - acc: 0.8361\n"
+      "99/99 [==============================] - 0s 3ms/step - loss: 0.3590 - accuracy: 0.8332\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "<keras.callbacks.History at 0x7f6958645a90>"
+       "<tensorflow.python.keras.callbacks.History at 0x7f1ee46da710>"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -638,16 +629,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1200/1200 [==============================] - 0s 231us/step\n",
-      "Error 0.3455: \n",
-      "Accuracy 83.7500: \n"
+      "38/38 [==============================] - 0s 1ms/step - loss: 0.3630 - accuracy: 0.8292\n",
+      "Error 0.3630: \n",
+      "Accuracy 82.9167: \n"
      ]
     }
    ],
@@ -659,7 +650,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -669,12 +660,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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AAAAAI6MQAgAAABiZnYYOAACwNTfffHM2bNiQG2+8cegog1m1alXWrFmTnXfeeegoAMCMUAgBAPdoGzZsyOrVq7N27dpU1dBxVlx3Z9OmTdmwYUP233//oeMAADPClDEA4B7txhtvzB577DHKMihJqip77LHHqO+QAgCmTyEEANzjjbUM2mLsf38AYPoUQgAAW/HNb34zb33rW5f9dc4///x88pOfXPbXAQBIrCEEAGxn1p72gak+39WvffJWH99SCJ100klLer7uTndnhx3u3O/dzj///Oy666559KMffae+DgDgrnCHEADAVpx22mn5j//4jxx66KE59dRT8/jHPz6HHXZYHvawh+X9739/kuTqq6/OQx/60Jx00kk57LDDcu211+btb397DjzwwBx99NF54QtfmJNPPjlJsnHjxjzzmc/M4YcfnsMPPzyf+MQncvXVV+f000/PG9/4xhx66KH5+Mc/PuRfGQAYAXcIAQBsxWtf+9pceumlufjii7N58+Z873vfy2677Zavf/3rOfLII3P88ccnSa644oqceeaZeetb35rrrrsur3nNa/LZz342q1evzjHHHJOHP/zhSZJTTjklp556ao466qh86UtfyhOf+MRcfvnledGLXpRdd901L3/5y4f86wIAI6EQAgBYou7OK17xinzsYx/LDjvskC9/+cv56le/miR54AMfmCOPPDJJ8ulPfzqPfexjc//73z9J8qxnPSv/9m//liT58Ic/nMsuu+zW5/z2t7+dG264YYX/JgDA2CmEAACW6F3velc2btyYCy+8MDvvvHPWrl1763bw973vfW+9rrvv8DluueWWXHDBBbn3ve+97HkBAO6INYQAALZi9erVt97B861vfSt77713dt5555x33nm55pprFv2aRz3qUfnoRz+a66+/Pps3b8773ve+Wx97whOekD/6oz+69fjiiy++3esAACw3hRAAwFbsscceecxjHpODDz44F198cdavX59169blXe96Vx7ykIcs+jX77LNPXvGKV+SII47Isccem4MOOij3u9/9kiRvfvObs379+hxyyCE56KCDcvrppydJnvrUp+Zv//ZvLSoNAKwIU8YAgO3KtraJXw7vfve7t3nNpZdeepvj5z73uTnxxBOzefPmPOMZz8gTnvCEJMmee+6Zv/qrv7rd1x944IG55JJLphMYAGAb3CEEALAMXvWqV+XQQw/NwQcfnP333z9Pf/rTh44EAHArdwgBACyDN7zhDUNHAAC4Q+4QAgAAABgZhRAAcI+3tW3cx2Dsf38AYPoUQgDAPdqqVauyadOm0ZYi3Z1NmzZl1apVQ0cBAGaINYQAgHu0NWvWZMOGDdm4cePQUQazatWqrFmzZugYAMAMWVIhVFXHJXlTkh2T/Gl3v3bB4/dK8udJHplkU5Jnd/fV040KAIzRzjvvnP3333/oGAAAM2WbU8aqasckb0nypCQHJTmhqg5acNkLklzf3T+a5I1Jfm/aQQEAAACYjqWsIfSoJFd291XdfVOS9yR52oJrnpbk/04+/+skj6+qml5MAAAAAKZlKYXQPkmunXe8YXJu0Wu6e3OSbyXZYxoBAQAAAJiupawhtNidPgu3+VjKNamqE5OcODn8TlVdsYTXZ3r2TPL1oUPcFWUSIktnnDMGxjljYJwzBsY5Y2Ccr7wHLuWipRRCG5LsO+94TZLr7uCaDVW1U5L7JfnGwifq7jOSnLGUYExfVa3v7nVD54DlZJwzBsY5Y2CcMwbGOWNgnN9zLWXK2GeSHFBV+1fVLkmek+TsBdecneQXJp//VJJ/6u7b3SEEAAAAwPC2eYdQd2+uqpOTnJu5bef/rLs/X1WvTrK+u89O8vYk76yqKzN3Z9BzljM0AAAAAHfdUqaMpbvPSXLOgnOvnPf5jUmeNd1oLAPT9RgD45wxMM4ZA+OcMTDOGQPj/B6qzOwCAAAAGJelrCEEAAAAwAxRCAEAAACMjEIIAAAAYGQUQgCwHaiqg4fOAMDdV1VHVtXqecerq+qIITPBcquqXYfOwO1ZVHrGVdW9kjwzydrM21Wuu189VCaYlqr6f0nu8D+x7j5+BePAsqqqf06yS5J3JHl3d39z2EQwfVX1viR/luQfuvuWofPAcqiqi5Ic1pM3YlW1Q5L13X3YsMlg+VTVl7p7v6FzcFtL2nae7dr7k3wryYVJ/mvgLDBtbxg6AKyU7j6qqg5I8otJ1lfVp5Oc2d0fGjgaTNPbkjw/yZur6r1J3tHdXxg4E0xb9bzfynf3LVXlfRnbvap62R09lMQdQvdA7hCacVV1aXebZgAwI6pqxyRPT/LmJN/O3A9Zr+juvxk0GExRVd0vyQlJfivJtUn+JMlfdPfNgwaDKaiqv0lyfuYK0CQ5Kcnjuvvpg4WCKaiqG5O8PsnmRR4+tbt3X+FIbINCaMZV1RlJ/rC7Pzd0Fpi2qvpctj5l7JAVjAPLqqoOydydE09O8qEkb+/uz1bVDye5oLsfOGhAmJKq2iPJzyb5uSTXJXlXkqOSPKy7jx4wGkxFVe2duVL/mMz9HPORJC/t7q8NGgzupqr6ZJKXdPeFizx2bXfvO0AstkIhNOOq6rIkP5rki5mbMlZJ2htlZkFVbfUNcHdfs1JZYLlV1ccyd5fEX3f39xc89nPd/c5hksH0TO6ceEiSd2ZuuthX5j22vrvXDRYOgK2aTPV9cZKf6e43LXjsf3T3V4dJxh1RCM24O3rD7I0ywPalql7a3X+w4NwpC3/ggu1ZVR3T3f80dA5YTlV1Zha5w7m7f3GAODA1VfX5JD+Z5OwkR2fuZoRbdfc3BojFVth2fsZNip/dkzx18rG7MohZM9m+9TNV9Z2quqmqflBV3x46F0zZzy9y7nkrHQKW2UOr6tY1Jqrqh6rqpCEDwTL4+yQfmHx8JMluSb4zaCKYjj9O8o+Zu9PzwgUf6wfMxR1wh9CMq6pTkrwwyZbFRp+R5Izu/sPhUsF0VdX6JM9J8t4k6zL3xvlHu/u3Bg0GU1BVJyR5bubWUPn4vIdWJ/lBdx87SDBYBlV1cXcfuuDcRd39iKEywXKbbDv/4e4+ZugsMA1V9bbufvHQOdg22xvOvhckOaK7v5skVfV7SS5IohBipnT3lVW1Y3f/IMmZk0XtYBZ8MslXkuyZ5P/MO39DkksGSQTLZ4equnVL7smuersMnAmW2wFJ9hs6BEyLMmj7oRCafZXkB/OOf5AFczlhBnyvqnZJcnFVvS5zb57vO3AmmIrJNN9rkvzY0FlgBZyb5KyqOj1za6y8KHPTD2BmVNUN+e81hDrJV5P8xnCJgLEyZWzGVdXLkvxCkr+dnHp65nbt+IM7/irYvkwWT/9q5n6LfGqS+yV5a3dfOWgwmIKq+ufuPmrBG4jkv3eN3G2gaDB1k6kzv5zk8Zkb4x9M8qeTuz9hZlTV/TN3Z9Cqyanu7o8NGAkYIYXQCFTVYZlbe6KSfKy7Lxo4EkxVVd03yfe7+5bJ8Y5J7tXd3xs2GQDAbVXVLyU5JcmaJBcnOTLJBdYQAlaaXcZmVFXtNvnz/kmuTvIXSd6Z5JrJOZglH0lyn3nH907y4YGywLKY7Ka3et7xrlV1xJCZYNqq6oCq+uuquqyqrtryMXQumLJTkhye5JruflySRyTZOGwkYIysITS73p3kKZnb4u92UwySPGiIULBMVnX3rdu1dvd3quo+W/sC2A69Lclh846/t8g52N6dmeR3k7wxyeOSPD/WPmT23NjdN1ZVqupe3f2Fqnrw0KGA8VEIzajufsrkz/2HzgIr4LtVdVh3fzZJquqRSb4/cCaYtlt3XkqS7r6lqnwfZ9bcu7s/Mtlp7Jokr6qqj2euJIJZsaGqdk/yd0k+VFXXJ7lu4EzACPlBcsZV1WOSXNzd362qn83cb5L/oLu/NHA0mKaXJnlvVW35YeoBSZ49YB5YDldV1a9m7q6gJDkpiak0zJobJwtL/3tVnZzky0n2HjgTTFV3P2Py6auq6rzMbYZhNz1gxVlUesZV1SVJHp7kkMytIfT2JP+rux87aDCYsqraOcmDMze14AvdffPAkWCqqmrvJG9Ockzmpv5+JMlLu/trgwaDKaqqw5NcnmT3JK9JsluS13f3pwYNBgAzSCE046rqs919WFW9MsmXu/vtW84NnQ2mZbJe0MuSPLC7X1hVByR5cHf//cDRAFiiyQ6Rr+3uXx86CwCMgSljs++GqvrNJD+b5McnP2ztPHAmmLYzM7eA+o9NjjckeW8ShRDbvar6je5+XVX9YW67SUCSpLt/dYBYMHXd/YOqeuRk/SC/sQSAZaYQmn3PTvLcJC/o7v+sqv2SvH7gTDBtP9Ldz66qE5Kku79fVXalYVZcNvlz/aApYGVclOT9VfXeJN/dcrK7/2a4SAAwmxRCM667/zPJ7887/lKSPx8uESyLm6rq3pncPVFVP5Lkv4aNBFPz7Mzd7bZ7d79p6DCwzO6fZFPm1sraopMohABgyqwhNKOq6p+7+6iquiG3nWJQSbq7dxsoGkzV5E6gn0vygiQHJflgksckeV53nz9gNJiKqrosyZOSnJ3k6Mz9P36r7v7GALEAANjOKYSA7V5VXZjkCUmOzNyb5U9199eHTQXTMdlq/sVJHpS5LbjnF0Ld3Q8aJBgsg6o6M4uvlfWLA8QBgJmmEJpxVXVkks939w2T412T/M/u/pdhk8H0VNVbkryjuz8zdBZYLlX1tu5+8dA5YDlV1TPnHa5K8owk11k8HQCmTyE046rqoiSHbdmto6p2SLLetvPMksmUmgOTXJO5RUi3TI08ZNBgMAVVtVt3f7uq7r/Y46aMMcsmP7d8uLuP2ebFAMCdYlHp2XebrVu7+5aq8u/OrHnS0AFgGb07yVOSXJi5qTS3mTKWualkMKsOSLLf0CEAYBYpBmbfVZP1J942OT4pyVUD5oGp6+5rhs4Ay6W7nzL5c/+hs8ByW2QzjP9M8r8HigMAM82UsRlXVXsneXPmtm/tJB9J8tLu/tqgwQC4U6rqGUn+qbu/NTnePcnR3f13wyYDAGB7pBACgO1AVV3c3YcuOHdRdz9iqEwwbYpPAFg5OwwdgOVVVQdW1Ueq6tLJ8SFV9dtD5wLgTlvse7ap38ya391SBiVJd38zye8OmAcAZpZCaPb9SZLfTHJzknT3JUmeM2giAO6K9VX1+1X1I1X1oKp6Y+YWmoZZovgEgBWiEJp99+nuTy84t3mQJADcHS9JclOSv0pyVpLvJ/mVQRPB9Ck+AWCF+I3L7Pt6Vf1IJjt2VNVPJfnKsJEAuLO6+7tJTquqXbv7O0PngWXykiS/k7niM0k+mMRUdwBYBhaVnnFV9aAkZyR5dJLrk3wxyc/Yphtg+1JVj07yp0l27e79qurhSX65u08aOBoAANshU8ZmWFXtkGRddx+bZK8kD+nuo5RBANulNyZ5YpJNSdLd/5rkxwdNBFNWVR+a7Cy25fiHqurcITMBwKxSCM2w7r4lycmTz7/b3TcMHAmAu6G7r11w6geDBIHls+dkZ7EkSXdfn2TvAfMAwMxSCM2+D1XVy6tq36q6/5aPoUMBcKddO5k21lW1S1W9PMnlQ4eCKbulqvbbclBVazNZBxEAmC5rCM24qvpiFvlBqrsfNEAcAO6iqtozyZuSHJu5X+icm+SU7t40aDCYoqo6LnNrH350curHk5zY3aaNAcCUKYRmXFXdO8lJSY7KXDH08SSnd/f3Bw0GALCIqto7yYlJLk6yKsnXuvtjw6YCgNmjEJpxVXVWkm8nedfk1AlJdu/unx4uFQB31mTXyDclOTJzBf8FSU7t7qsGDQZTVFW/lOSUJGsyVwgdmeSC7j5m0GAAMIOsITT7Htzdv9Td500+Tkzy4KFDAXCnvTvJWUkekOSHk7w3yV8Omgim75Qkhye5prsfl+QRSTYOGwkAZpNCaPZdVFVHbjmoqiOSfGLAPADcNdXd7+zuzZOPv4jFdpk9N3b3jUlSVffq7i/EL7IAYFnsNHQAlt0RSX6+qr40Od4vyeVV9bkk3d2HDBcNgDvhvKo6Lcl7MlcEPTvJB7bsHNnd3xgyHEzJhqraPcnfZW6n1OuTXDdwJgCYSdYQmnFV9cCtPd7j2faOAAAA4UlEQVTd16xUFgDuusmukVts+eZdW47tHsmsqarHJrlfkn/s7puGzgMAs0YhBADbgar66cy9Mf52Vf1OksOSvKa7PztwNAAAtkPWEAKA7cNvT8qgo5L8RJJ3JHnbsJEAANheKYQAYPvwg8mfT05yene/P8kuA+YBAGA7phACgO3Dl6vqj5P8dJJzqupe8X0cAIC7yBpCALAdqKr7JDkuyee6+9+r6gFJHtbdHxw4GgAA2yGFEAAAAMDIuNUcAAAAYGQUQgAAAAAjoxACAAAAGBmFEAAAAMDIKIQAAAAARub/A6C98DTGelThAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 1440x360 with 1 Axes>"
       ]
@@ -693,7 +684,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -840,7 +831,7 @@
        "4             0              40   <=50K  "
       ]
      },
-     "execution_count": 55,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -851,28 +842,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(8, 15)\n",
-      "(16, 15)\n",
-      "(66, 15)\n",
-      "(4, 15)\n",
-      "(506, 15)\n",
-      "(3, 15)\n",
-      "(19, 15)\n",
-      "(39, 15)\n",
-      "(2, 15)\n",
-      "(537, 15)\n"
-     ]
-    },
     {
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Qz5495e/vr5o1a+r111/P9zu6WXJysrp3767GjRurQYMGioyMzHb+xuywTz75RJLk6ekpKXPG0aOPPqrevXurVq1aGjVqlObPn68WLVqoYcOGOnbsmCTp5MmT6tSpkxo1aqROnTrp1KlT1n7c3d0lSVWrVtUvv/yin376qUC5AwAAAABQlCgIZZGamqrjx4/LYrFIkry9vRUVFZVnvH+PnvomOkpnz5yWk7Ozyv+lgvVc2xY+2vL1XO1evVB9Artq8qy5Oa6f+MZE9R/cX5FrIjV1zlS9/fe3JUmPP/m4Brw8IN9cWzVpog9G5b7s7MvoJXqyRy916/qE1qyNsRZ6JOnYsWNasWKFvvrqK/31r39Vhw4d9P3338vd3V0rVqxQWlqa/v7WSC38+HNtWbleIcHP6u3J71ivP//7eX27ZJUGDx6cb34nTpzQyy+/rB9++EFlypTR0qVLJUkDBgzQ9OnTFRcXl+e11WrW0uxVqxW5MU5D/jlGH44Ns56Lj49XZGSkvv/+e0VGRioxMTHXPjZs2KAmTZpYf44dO6ZvvvlGFStW1J49e7Rv3z75+/tb4y9duqSAgAD169dPL7zwQo7+9uzZo2nTpun777/X559/rsOHD2vbtm16/vnn9eGHH0qShg4dqv79+2vv3r165plnNGzYMElSaGiogoODrX098sgj2rTp9szcAgAAAADAHnf1HkJ32rlz51SmTBm749s85qeZH4zX/eXLq2vAk9nOJf1/e3cep2O9/3H89Z1pGLsxTMqSJKIwi2WyZGQMSiYqUypnjk6UpZyytqBSxxFSJ/XjiDZaONYiywjJkqVQqJOtsUToYMYyM7fv74973M3MPRvd42Lm/Xw85uG+ru/3uq73Nd0y92eu7/d78BBxjw/h4OEjpKSkcn31a72OX7tyLTt/3OnZTj6ZTHJSMqVKl7roe0hJSSHhyyW89Pw/KF26DOGhESz/ahltb28HQIcOHQgICKB+/fq4XC5PUaR+/frs2bOHn0pfww8/bueObu6npFwuF5VDrvac/7677slXjmrVqhEaGgpAREQEe/bs4fjx4/zvf/+jVatWADz88MPM/vxzr2OTTpzg+cd78svOnzHGkJb6x/C0Nm3aUK5cOQDq1avH3r17qVatmtc5WrZsyWefZZ4zyuVyMWDAAAYPHkzHjh1p2bKlpy02NpZBgwbx4IMPZns/jRs35ppr3AW/G264gZiYGMD9ffvyyy8BWLNmjaeA+PDDD+f4BFNISAgHDhzItk1ERERERETkUlBBKIMSJUpw5syZfPcPKFaMuvVDeX/SBGYlrGHFki88bf2eH81TPR+iU0wrlq/ewIhxE72OP3fuHNMWTiOwRKBP8gMsW7GUEydPENWuGQCnzpyiRImSnoJQ8eLFAfDz8yMgIABjjGc7LS0Nay31at/EyrkJ2Z6/VEn3ULaMxaSYmBgGDhyYqd/564B76N3p06ex1nqul5sJL79I45a38dq0j9m/dy9/6/jHkzxZz5uWlsbs2bN54YUXAHIdyla7dm02btzIggULGDp0KDExMQwbNgyA5s2bs3DhQrp165ZtxozX9fPzy/R9zGk+pZzu9cyZM54hZCIiIiIiIiJO0JCxDIKCgnC5XBdUFOresw/9h46gfFDmuYaOn0iiSuVKALw3Y362xzaLasb0d6Z7tnds3eHVZ25CAsPGj893ntnzZjJu1L/Y8PVWNny9lfVfbWH5V8s4dfpUvo6vfcON/Hb0CGs3rgMgNTWVbT9u9+rn7+/PkiVLWLJkiVcxKCfly5enXLlyrFq1CnDP15SdpBMnCLnG/UTVvOkf5nnezp07eyaPbtSoUY79Dhw4QMmSJXnooYcYMGAAmzZt8rS9+OKLBAcH07t373zdS3aaNWvGxx9/DLjvrUWLFtn2++mnn7jlllsu+joiIiIiIiIif9Zl/YRQfpaJ97WYmBhWrVqV71WpatWpS606db32j3i6F/f1GkyVypWIDK/P7kTvIUJDXxnKyMEj6dyqM640FxG3RjB8zPBMfXYnJlImfXLjvJw6fYrlKwe0dq4AACAASURBVBMY88ofBaRSJUvRtFEki5cuzNc5ihUrxscTP+CpYYM4fvIEaa40+j3Sm3rZ3OPFmDp1Kj169KBkyZK0a9cu2z7xT/6d5x/ryQcT/kWT21pd1HXOzyF03nPPPUeZMmUYOHCg5+mot99+O9Mx48ePp0ePHgwaNIjRo0df8DXfeOMNevTowauvvkqlSpWYOnWqV5/U1FR+/vnnXAtXIiIiIiIiIgXtsi4IOaFv376MGzcu14JQlWrVmZXgPSlybNduxHbt5n7dLorYdlFefeLjOhEf1wmAoOAgxk4em2ueLTt28M98rqZVskRJfty812v/1InuJ3FCriubaX9SUpLn9YgRIwBI2XeShjc3IOE/X5DVkhkLcr3+unXup4oqVKjAsmXLPPsHDBjgeR0REcHmzZs9252fct9b45a30bjlbQA0bNKUeZv+6NPnOfewrvj4eOLj4z37s84RdF5UVBTHjx/Pti27ItSePXs8rzMWcc5/f6KiooiKivLsX758eaZrnW+rUaNGpvvOzmeffca9997LVVfpr56IiIiIiIg4R59KswgLC6N169a4XC78/f2djsOUUaOcjiA+lJaWxtNPP+10DBERERERESniVBDKRo8ePZyOIIXUfffd53QEEREREREREU0qLSIiIiIiIiJS1KggJCIiIiIiIiJSxKggJCIiIiIiIiJSxKggJCIiIiIiIiJSxFzWk0rvG/KVT89XdVTLPPucPn2a9u3bs2zZMhITE4mPj8+0zDjA/sRfuKNZQx59YgB9Bz4LwO/HjhIdcRP3PBjPMyNfzfH8734yjw1btvHmy0Ny7DPnoznsT9xPn0F9cuyzcv16Ppwzh0kvv5xt+7MjBvPZwrl8u2Ybfn451/0OHDjAE088wcyZM3Psk1+JiYlERUVRs2ZNUlNTuf3223nrrbdyvX5+dKhfly0bN1KxYsVs26OiohgzZgyNGjX6U9cB99LxGzZsyPFaOV3/3XffpUaNGkRHRzNjxgyCgoL+dBYRERERERGRgqInhLKYMmUKXbp0yXPJ+arVa7AyYZFne8lnc7ih9k0FHS9fzp07x8LFn3HtNVVYs+7rXPtee+21PikGnXfdddexZMkSli5dyrZt25gzZ47Pzn05crlcmbYffvhh3nrrLYfSiIiIiIiIiOSPCkJZTJs2jdjYWAD8/f2pUKFCtv2KBwZSs1Ztftj8LQCL5s8mpuPdnvb5i1fQtGN3wmIeIDruMQ79dtTrHMeOHKN/fH/i2sYR1zaOTes2pZ+7OCVLlcw1Z7GAAMqWKZNt26o1K7mpdl3iH3qE2fP+KPasWLGC0NBQQkNDCQsL4+TJk+zZs4dbbrkFgD179nB7l3Y07dCSph1asmbDOvdxa76i7X13cH+vh6kfFcFf+j2CtTbXfFdddRXNmjXj559/JikpiTZt2hAeHk79+vWZO3fuH9+nj6ZxX7MmdG3elGd7PpLrOZOTk7nzzjtp2LAht9xyC5988olXn8cff5xGjRpx8803M3z4cM/+GjVqMHz4cE+GHTt2AHD06FFiYmIICwujV69eme7rww8/pEmTJoSGhtKrVy9P8ad06dIMGzaMpk2bsmbNGipUqOApIHbq1ImPPvoo1/sQERERERERcdplPWTsUktJSWHXrl3UqFEDgGrVqjFr1qwc+7fv1IUv5s2iYkgIfv7+VLr6Gg4f+hWAFk3CWDv/PYwxTJ4+m9FvvcfY4U9lOn7Us6Po/lh3wiPDObjvID279mT+6vl06Nwhz6yRoaFEhoZm2zZ73kw6d7qX9m3v4JVXXyQ1NZWAgADGjBnDhAkTaN68OUlJSQQGBmY6LiQkhAXT5xIYGMh/d/9M9z6PsGbBCgC++2EL3yas49qrryGqc1vWr19PkyZNcsx3+vRpEhISePHFFwkMDGT27NmULVuWI0eOEBkZSadOndi2bRuTx7zKu4uXEhRckePHjuV6z1988QXXXnstn3/+OQDHjx/36vPyyy9ToUIFXC4Xbdq0YcuWLTRo0ACAihUrsmnTJt566y3GjBnD5MmTeeGFF2jRogXDhg3j888/Z9KkSQBs376dTz75hK+//pqAgAB69+7NtGnT6N69O8nJydxyyy28+OKLALRo0cJz/aCgIM6ePcvRo0cJDg7O9X5EREREREREnKKCUAZHjhyhfPny+e7fPCqaCWNeIbhSJdrd1TlT276Dh4h7fAgHDx8hJSWV66tf63X82pVr2fnjTs928slkkpOSKVW61EXfQ0pKCglfLuGl5/9B6dJlCA+NYPlXy2h7ezuaN2/OU089xYMPPkiXLl2oWrVqpmNTU1PpPbgfm3/Yir+/P//d9bOnrVFoBFWvqQJAg3oNSExMzLYgtHfvXtq2bYsxhnvvvZcOHTqQmprKM888w8qVK/Hz82P//v0cOnSIZcuWER17N0HB7vl6yuXwNNZ59evXZ8CAAQwePJiOHTvSsqX3nFCffvopkyZNIi0tjYMHD7Jt2zZPQahLly4AREREeAp9K1eu9Ly+8847PXP/JCQksHHjRho3bgy4C1whISGA+8mxe+65J8ecISEhHDhwQAUhERERERERuWypIJRBiRIlOHPmTL77BxQrRt36obw/aQKzEtawYskXnrZ+z4/mqZ4P0SmmFctXb2DEuIlex587d45pC6cRWCLQq+1iLVuxlBMnTxDVrhkAp86cokSJkrS9vR1DhgzhzjvvZMGCBURGRrJ06dJMTwm99tprhFQMYcPi1Zw7d46ytSp52ooXK+Z57e/vR1paGps2bWLw4MEADBw4kLp163rmEAL3/ETgHob322+/sXHjRgICAqhRowZnzpzBWosxJlN+l8vFA62aAxDV4U56P/u8p6127dps3LiRBQsWMHToUGJiYhg2bJinfffu3YwZM4b169cTFBREfHx8pv+exYsXT8/vT1pammd/1gwA1lr+8pe/8I9//MOrLTAwMNc5ps6cOUOJEiVybBcRERERERFxmuYQyiAoKAiXy3VBRaHuPfvQf+gIygdlfrrl+IkkqlR2F1TemzE/22ObRTVj+jvTPds7tu7w6jM3IYFh48fnO8/seTMZN+pfbPh6Kxu+3sr6r7aw/KtlnDp9ip07d1K/fn0GDx5Mo0aNPPPoeDIfP07lkMr4+fkx7T8fe02YnFV4eDhLlixhyZIlxMTE5Njv+PHjhISEEBAQwJdffsnevXsBaNOmDYtnz+J/x9zzKx0/dgx/f38+XbWWT1etzVQMAveKaCVLluShhx5iwIABbNq0KVP7iRMnKFWqFOXKlePQoUMsXLgwz+/XbbfdxrRp0wBYuHAhv//+uyfbzJkzOXz4MADHjh3z5M6NtZZff/3VM+xQRERERERE5HJ0WT8hlJ9l4n0tJiaGVatWER0dna/+terUpVadul77Rzzdi/t6DaZK5UpEhtdnd+IBrz5DXxnKyMEj6dyqM640FxG3RjB8zPBMfXYnJlKmdOl8ZTl1+hTLVyYw5pU/CkilSpaiaaNIFi9dyNYfN/Hll1/i7+9PvXr16NChAwcPHvT07d27N106dWbW57Np1ew2SpW8+KFrGT344IPcddddNGrUiNDQUG66yb0a280338zfBgzkkTva4e/vT50GDXnp7Uk5nmfr1q0MHDgQPz8/AgICePvttzO1N2zYkLCwMG6++WZq1qxJ8+bN88w2fPhwHnjgAcLDw2nVqhXVq1cHoF69eowcOZKYmBjOnTtHQEAAEyZM4Lrrrsv1fBs3biQyMpKrrrqs/2qJiIiIiIhIEZevT63GmPbA64A/MNlaOypL+1PA34A04Degh7U278cpLkN9+/Zl3LhxuRaEqlSrzqyENV77Y7t2I7ZrN/frdlHEtovy6hMf14n4uE4ABAUHMXby2FzzbNmxg38OGpSv7CVLlOTHzd7f9qkT3U/A9Oz7V6+2GjVq8P333wNw4403snHJH/c1csgIAFrd2pJWt/5RnHt95FiO+J30Ole1atVYtmyZ1/6KFSuyZo339wugU7eH6NTtoVzuChZu3U7FsiVp164d7dq182pfvny55/W7776b7Tn27Nnjed2oUSPPMcHBwSxevNjT9tprr3lex8XFERcX53WupKSkHLN+8MEH9O7dO8d2ERERERERkctBnkPGjDH+wASgA1APeMAYUy9Lt2+BRtbaBsBMYLSvg14qYWFhtG7dOs/hUpfKlFGjqJTHZMty+bjlllto06aN0zFEREREREREcpWfOYSaAD9ba3dZa1OAj4HYjB2stV9aa0+lb64FqnIF69GjR66TBovk5NFHH3U6goiIiIiIiEie8lMQqgIkZtjel74vJ48A2c7ma4zpaYzZYIzZ8Ntvv+U/pYiIiIiIiIiI+Ex+CkLea3KDzbajMQ8BjYBXs2u31k6y1jay1jaqVKlSdl1ERERERERERKSA5WdS6X1AtQzbVQGvJbOMMdHAs0Ara+1Z38QTERERERERERFfy88TQuuBG40x1xtjigH3A/MydjDGhAETgU7W2sO+jykiIiIiIiIiIr6S5xNC1to0Y0xfYBHuZeenWGt/MMa8CGyw1s7DPUSsNDDDGAPwi7W2058NN2LEiD97igs+3+nTp2nfvj3Lli0jMTGR+Pj4TMuaA+xP/IU7mjXk0ScG0HfgswD8fuwo0RE3cc+D8TwzMtsRcwC8+8k8NmzZxpsvD8mxz5yP5rA/cT99BvXJsc/K9ev5cM4cJr38cqb9X6/5ir/07Eb1qtdxzp6jYnBF3n79HSpVrMS7777Lhg0bePPNN/P8PmRVoc41HPvxYKZ9iYmJ/P3vf2fmzJls376diRMnMn78+As+t4iIiIiIiIhcWvl5Qghr7QJrbW1r7Q3W2pfT9w1LLwZhrY221l5trQ1N//rTxSCnTJkyhS5duuS5yljV6jVYmbDIs73kszncUPumgo6XL00b38qyhatY/sVqQhuEM/X9fxf4NevWrcvBgwfZv39/gV9LRERERERERP6cfBWEipJp06YRGxsLgL+/PxUqVMi2X/HAQGrWqs0Pm78FYNH82cR0vNvTPn/xCpp27E5YzANExz3God+Oep3j2JFj9I/vT1zbOOLaxrFp3ab0cxenZKmSueYsFhBA2TJlcu1jrSU5OYly5cp7tc2fP5+mTZsSFhZGdHQ0hw4dAiApOYlHn3qc8OhIItreyuwFczMdd+TYUW6LbcPSpUvx8/OjfPk/zt22bVvmzs3cX0REREREREQuP/mZVLrISElJYdeuXdSoUQOAatWqMWvWrBz7t+/UhS/mzaJiSAh+/v5UuvoaDh/6FYAWTcJYO/89jDFMnj6b0W+9x9jhT2U6ftSzo+j+WHfCI8M5uO8gPbv2ZP7q+XTo3CHPrJGhoUSGhmbbtm79Gm7v0ILf/3eMkiVK8szAYV59WrRowdq1a935Jk9m9OjRjB07lldeH03ZsmXZtHQtAL//73fPMYd+O8w9PeIYMfB5QqMaAzB58mRPe8OGDXnzzTfp3bt3nvlFRERERERExDkqCGVw5MiRTE+85KV5VDQTxrxCcKVKtLurc6a2fQcPEff4EA4ePkJKSirXV7/W6/i1K9ey88ednu3kk8kkJyVTqnSpi78J3EPGpk35FIB/vf0aL/5jGK++knlun3379hEXF8fBgwdJSUnh+uuvB2DZquV8MGGKp19Q+SAAUtNSaX//Xbw+ciy33dqCI5z0um5wcLDnSSMRERERERERuXxpyFgGJUqU4MyZM/nuH1CsGHXrh/L+pAlE35F52qR+z4+m71/j2JrwKRP/+SxnzqZ4HX/u3DmmLZzGf5b/h/8s/w/Lti7708WgrNq1vYO136z22t+vXz/69u3L1q1bmThxoue+rbUYjFf/q/yvIrxBKEtWJOR4rbNnzxIYGOi78CIiIiIiIiJSIFQQyiAoKAiXy3VBRaHuPfvQf+gIygdlnmvo+IkkqlSuBMB7M+Zne2yzqGZMf2e6Z3vH1h1efeYmJDDsT6zctW79Gq677nqv/cePH6dKlSrufO+959kffdvtvP3eJM/2+SFjxhgmjXmLH3f+xKsTxmV7rV27dlGnTp2LzioiIiIiIiIil8ZlPWTM18vO50dMTAyrVq0iOjo6X/1r1alLrTp1vfaPeLoX9/UaTJXKlYgMr8/uxANefYa+MpSRg0fSuVVnXGkuIm6NYPiY4Zn67E5MpEzp0hd0D+fnELLWUrZsWcaN+pd3vhEjuO+++6hSpQqRkZHs3r3bnemJgTz53NOEtWmKv78/z/19CHd3cD/95O/vz4cTptL5r10xZQKIj4/PdM7Vq1fTpk2bC8oqIiIiIiIiIpfeZV0QckLfvn0ZN25crgWhKtWqMythjdf+2K7diO3azf26XRSx7aK8+sTHdSI+zl1gCQoOYuzksbnm2bJjB/8cNCjf+Zvf2pKftyZm2xYfH+8p4sTGxnpWU8uodKnSvPPaRK/9x348CECxYsX4fNocjvhlnkPo7NmzbN68mRdeeCHfWUVERERERETEGSoIZREWFkbr1q1xuVz4+/s7HYcpo0Y5HSFf9u/fzzPPPMNVV+ktJSIiIiIiInK506f3bPTo0cPpCFecmjVrUrNmTadjiIiIiIiIiEg+aFJpEREREREREZEiRgUhEREREREREZEiRgUhEREREREREZEiRgUhEREREREREZEi5rKeVDph2Q0+PV+b23fm2ef06dO0b9+eZcuWkZiYSHx8PMuXL8/UZ3/iL9zRrCGPPjGAvgOfBeD3Y0eJjriJex6M55mRr+Z4/nc/mceGLdt48+UhOfaZ89Ec9ifup8+gPjn2Wbl+PR/OmcOkl1/2alu3fg3DRj5D0kn30vC9/taH7t3+6j73nDnUrl2bevXqARAVFcWYMWNo1KhRjtfKS9OmTVm3bh1Hjx7liSeeYNq0aRd9LhEREREREREpeHpCKIspU6bQpUuXPJecr1q9BisTFnm2l3w2hxtq31TQ8fJ0+PAhHn/yb7z68mt8vWwD82Yu4oPpU1myzJ11zpw5bNu2zSfXcrlcmbaDg4MJCQlh/fr1Pjm/iIiIiIiIiBQMFYSymDZtGrGxsQD4+/tToUKFbPsVDwykZq3a/LD5WwAWzZ9NTMe7Pe3zF6+gacfuhMU8QHTcYxz67ajXOY4dOUb/+P7EtY0jrm0cm9ZtSj93cUqWKplrzmIBAZQtU8Zr/5QP/k3cvd1ocEsoAMEVgnl+6Iv86+3XWL16NfPmzWPgwIGEhoayc6f7iakZM2bQpEkTateuzap1qwF3sWfIyOdodmcrItreyr8/nALAijVfEdP1Tvr06UObNm3c1wgO9ly/ffv2zJo1K9fsIiIiIiIiIuKsy3rI2KWWkpLCrl27qFGjBgDVqlXLtbjRvlMXvpg3i4ohIfj5+1Pp6ms4fOhXAFo0CWPt/PcwxjB5+mxGv/UeY4c/len4Uc+Oovtj3QmPDOfgvoP07NqT+avn06FzhzyzRoaGEhka6rX/x5+20/Webpn2hdYP48efttOsWTM6depEx44duffeez3taWlpfPPNNyxYsICR/xjFFx/NY+rH71OuTFlWf76Cs2fPEtU5hujbbgdg/XcbSViWQPXq1QFYsGCB51wNGjRg9OjReeYXEREREREREeeoIJTBkSNHKF++fL77N4+KZsKYVwiuVIl2d3XO1Lbv4CHiHh/CwcNHSElJ5frq13odv3blWnb++Me8Rsknk0lOSqZU6VIXfQ/WgjHGa392+87r0qULABEREexN3AvA0pXL2Lr9e2YtmAvA8ZMn+Hn3TooVK0bj0AhPMSirihUr8uuvv150fhEREREREREpeCoIZVCiRAnOnDmT7/4BxYpRt34o70+awKyENaxY8oWnrd/zo3mq50N0imnF8tUbGDFuotfx586dY9rCaQSWCPRJfoA6tW9i89Zvad/2Ds++zd9/R+0bc57fqHjx4oB7iNz5eYGstbz24qvEREVn6rtizVeULJnzcLazZ88SGOi7+xERERERERER39McQhkEBQXhcrkuqCjUvWcf+g8dQfmgzHMNHT+RRJXKlQB4b8b8bI9tFtWM6e9M92zv2LrDq8/chASGjR+f7zw9uj/KJzOn8/0PWwA49vsxRo4aTp9eTwJQpkwZTqavPpabtq3aMOmDd0hNTQXgp13/JflUcp7H7dq1i5tucn5ybRERERERERHJ2WX9hFB+lon3tZiYGFatWkV0dHTenYFadepSq05dr/0jnu7Ffb0GU6VyJSLD67M78YBXn6GvDGXk4JF0btUZV5qLiFsjGD5meKY+uxMTKVO6dL7zXx1SmQmvTeLpoU+QlJSExdLzr4/TLto9L9H999/Po48+yhtvvMHMmTNzPE+PB/7C3sRfaNqhJdZaKgVXZMbk6Tn2P2/16tWeyaZFRERERERE5PJ0WReEnNC3b1/GjRuXa0GoSrXqzEpY47U/tms3Yru6J3SObRdFbLsorz7xcZ2Ij+sEQFBwEGMnj801z5YdO/jnoEEXcAdwa9PmLJq3PNu25s2bZ1p2fvnyP/pVrFiRn9Z8D4Cfnx8vDRnOS0MyF6ha3dqSVre25AjZP2W0ePFipkyZckF5RUREREREROTSUkEoi7CwMFq3bo3L5cLf39/pOEwZNcrpCPl29OhRevbseUETc4uIiIiIiIjIpaeCUDZ69OjhdIQrUnBwMO3bt3c6hoiIiIiIiIjkQZNKi4iIiIiIiIgUMSoIiYiIiIiIiIgUMSoIiYiIiIiIiIgUMSoIiYiIiIiIiIgUMZd1Qajyl9/59Cs/Tp8+TatWrXC5XOzZs4eoqCivPvsTf6FhtSDefPVlz77fjx0l4vpKvPLcwFzP/+4n8+j7bO4rh835aA4TRk/Itc/K9evp+eyzXvvb3NGC73/YAkBaWho16l7DzNmfeNojIiLYtGkTI0aMYMyYMdmeu9Xd0QDsSdzLx7M/zTUHQGJiIvfeey8A27dvp3///nkeIyIiIiIiIiLOuawLQk6YMmUKXbp0yXPJ+arVa7AyYZFne8lnc7ih9k0FHS9PjSOasn7TOgB+2L6VWjVrsX6jezs5OZldu3bRsGHDXM+xYs5SAPbu+4WP5864oOvXrVuXgwcPsn///otILyIiIiIiIiKXggpCWUybNo3Y2FgA/P39qVChQrb9igcGUrNWbX7Y/C0Ai+bPJqbj3Z72+YtX0LRjd8JiHiA67jEO/XbU6xzHjhyjf3x/4trGEdc2jk3rNqWfuzglS5XMNWexgADKlinjtb9xo0jWb/wGgPUbv6H7gz34fttWAL755hvCw8M9xa5t27YRFRVFzZo1eeONNzznqFDnGgCe+8dwvv5mDY3bNef1f7+Jy+ViyMjnaHZnK6Kjo/nggw8A8PPzo3z58p7j27Zty9y5c3PNLyIiIiIiIiLOUUEog5SUFHbt2kWNGjUAqFatGrNmzcqxf/tOXfhi3iwOHdyPn78/la6+xtPWokkYa+e/x7eLP+L+2HaMfus9r+NHPTuK7o9155MlnzB+6niG/304AB06d+Cvff6aa9bI0FDGDBnitb9xeBPPE0HrN67j1ibNKVasOElJJ1m9ejXNmzf39N2xYweLFi3im2++4YUXXiA1NTXTuUYOfYHmTW5l/aKvefLRvkz9+H3KlSnL6s9X8PnnnzN9+nR++eUXqlSpwuTJkz3HNWzYkHXr1uWaX0REREREREScc5XTAS4nR44cyfSkS16aR0UzYcwrBFeqRLu7Omdq23fwEHGPD+Hg4SOkpKRyffVrvY5fu3ItO3/c6dlOPplMclIypUqXuuh7qF7tOlJTUzl8+BA/7/yJWjfcSFjDMDZ+t4HVq1fTr18/T98777yT4sWLU7x4cUJCQjh06BAhlMvx3EtXLmPr9u+ZtWAuabg4efIku3fvpnr16pn6BQcHc+jQoYu+BxEREREREREpWCoIZVCiRAnOnDmT7/4BxYpRt34o70+awKyENaxY8oWnrd/zo3mq50N0imnF8tUbGDFuotfx586dY9rCaQSWCPRJ/vMahTdm/sK5XB1SGWMMEWGNWb9hHd988w2RkZGefsWLF/e89vf3Jy0tLdd3hLWW1158lZioaI74ncyx39mzZwkM9O09iYiIiIiIiIjvaMhYBkFBQbhcrgsqCnXv2Yf+Q0dQPijzXEPHTyRRpXIlAN6bMT/bY5tFNWP6O9M92zu27vDqMzchgWHjx+c7D0DjiEgmvjOBRuFNAGgU3oRPZ31E5cqVL+gJqDKlSpOUlOTZbtuqDZM+eMcztGznzp2cOnXK67hdu3ZRp06dC8osIiIiIiIiIpfOZf2E0K+tQy/5NWNiYli1ahXR0dH56l+rTl1q1anrtX/E0724r9dgqlSuRGR4fXYnHvDqM/SVoYwcPJLOrTrjSnMRcWsEw8cMz9Rnd2IiZUqXvqB7aNKoKcNeGkpEeGMArg6pzDnXOZo1a3ZB56lf9xb8r7qKRjHNePi+bvR7pDd7E3+haYeWpOGiQoUKTJkyxeu41atX06ZNmwu6loiIiIiIiIhcOpd1QcgJffv2Zdy4cbkWhKpUq86shDVe+2O7diO2azf363ZRxLaL8uoTH9eJ+LhOAAQFBzF28thc82zZsYN/Dhp0AXcAYQ0jOLTneKZ9G77eSsh1ZT3bI0aMyNT+/fffA5Cy7yTHfjwIQEBAAIs+zvx000tDhvPSkOE5Dhk7e/Ysmzdv5oUXXrigzCIiIiIiIiJy6agglEVYWBitW7fG5XJ5lmd30pRRo5yOcEH279/PM888w1VX6a0lIiIiIiIicrnSp/Zs9OjRw+kIV6yaNWtSs2ZNp2OIiIiIiIiISC4uu0mlrbVORxC5IujvioiIiIiIiFysy6ogFBgYyNGjR/VBVyQP1lqOHj1KYGCg01FERERERETkCnRZDRmrWrUq+/bt47fffnM6Sq4OPVqVuQAAD85JREFU/X46zz7bTd738Gs+5tlxnchXJM78LzXPPkdP5V08SPv9TL6ul2Ty7nf8+PE8+xw6k5Kv620PLJavfkVJYGAgVatWdTqGiIiIiIiIXIHyVRAyxrQHXgf8gcnW2lFZ2osD7wMRwFEgzlq750LDBAQEcP3111/oYZdchyGf59lnT2C3PPt0vb56nn0+/UdavjJ9FTUhzz59/u/2PPvsG/JVvq73n8CEPPtkXcksO62//C5f1/u1dd189RMRERERERGRvOU5ZMwY4w9MADoA9YAHjDH1snR7BPjdWlsLeA34p6+DioiIiIiIiIiIb+RnDqEmwM/W2l3W2hTgYyA2S59Y4L301zOBNsYY47uYIiIiIiIiIiLiK/kpCFUBEjNs70vfl20fa20acBwI9kVAERERERERERHxLZPXil7GmPuAdtbav6VvPww0sdb2y9Dnh/Q++9K3d6b3OZrlXD2BnumbdYAffXUjki8VgSNOhxApYHqfS1Gg97kUBXqfS1Gg97kUBXqfX3rXWWsr5dUpP5NK7wOqZdiuChzIoc8+Y8xVQDngWNYTWWsnAZPycU0pAMaYDdbaRk7nEClIep9LUaD3uRQFep9LUaD3uRQFep9fvvIzZGw9cKMx5npjTDHgfmBelj7zgL+kv74XWGbzevRIREREREREREQckecTQtbaNGNMX2AR7mXnp1hrfzDGvAhssNbOA94BPjDG/Iz7yaD7CzK0iIiIiIiIiIhcvPwMGcNauwBYkGXfsAyvzwD3+TaaFAAN15OiQO9zKQr0PpeiQO9zKQr0PpeiQO/zy1Sek0qLiIiIiIiIiEjhkp85hEREREREREREpBBRQUhEREREREREpIhRQUhEREREREREpIhRQUhEROQKYIy5xekMIiLy5xljIo0xZTJslzHGNHUyk0hBM8aUdjqDeNOk0oWcMaY4cA9QgwyryllrX3Qqk4ivGGPmAzn+T8xa2+kSxhEpUMaYVUAx4F1gurX2f84mEvE9Y8x/gCnAQmvtOafziBQEY8y3QLhN/yBmjPEDNlhrw51NJlJwjDG/WGurO51DMsvXsvNyRZsLHAc2AmcdziLia2OcDiByqVhrWxhjbgR6ABuMMd8AU621SxyOJuJLbwN/Bd4wxswA3rXW7nA4k4ivGZvht/LW2nPGGH0ukyueMeapnJoAPSF0GdITQoWcMeZ7a62GGYiIFBLGGH/gbuAN4ATuH7KesdbOcjSYiA8ZY8oBDwDPAonAv4EPrbWpjgYT8QFjzCxgOe4CKEBvoLW19m7HQon4gDHmDPAqkJZN89+tteUvcSTJgwpChZwxZhLwL2vtVqeziPiaMWYruQ8Za3AJ44gUKGNMA9xPTtwJLAHesdZuMsZcC6yx1l7naEARHzHGBAMPAQ8DB4BpQAugvrU2ysFoIj5hjAnBXdS/HffPMQlAf2vtYUeDifxJxpjVQD9r7cZs2hKttdUciCW5UEGokDPGbANqAbtxDxkzgNUHZSkMjDG5fgC21u69VFlECpoxZiXupyRmWmtPZ2l72Fr7gTPJRHwn/cmJm4APcA8XO5ihbYO1tpFj4UREJFfpQ30fBx601r6epe1qa+0hZ5JJTlQQKuRy+sCsD8oiIlcWY0x/a+34LPuezPoDl8iVzBhzu7V2mdM5RAqSMWYq2TzhbK3t4UAcEZ8xxvwA3AHMA6JwP4zgYa095kAsyYWWnS/k0gs/5YG70r/KqxgkhU368q3rjTFJxpgUY4zLGHPC6VwiPtY9m33xlzqESAGra4zxzDFhjAkyxvR2MpBIAfgM+Dz9KwEoCyQ5mkjENyYCX+B+0nNjlq8NDuaSHOgJoULOGPMk8ChwfrLRzsAka+2/nEsl4lvGmA3A/cAMoBHuD861rLXPOhpMxAeMMQ8A3XDPofJVhqYygMtaG+1IMJECYIz5zlobmmXft9baMKcyiRS09GXnl1prb3c6i4gvGGPettY+7nQOyZuWNyz8HgG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\n",
       "text/plain": [
        "<Figure size 1440x360 with 1 Axes>"
       ]
@@ -894,29 +869,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 36,
    "metadata": {
     "scrolled": true
    },
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "WARNING:root:No categorical_cols passed so inferred using np.object, np.int8 and np.bool: Index(['workclass', 'education', 'marital-status', 'occupation',\n",
-      "       'relationship', 'ethnicity', 'gender', 'loan', 'target'],\n",
-      "      dtype='object'). If you see an error these are not correct, please provide them as a string array as: categorical_cols=['col1', 'col2', ...]\n",
-      "WARNING:root:No categorical_cols passed so inferred using np.object, np.int8 and np.bool: Index(['workclass', 'education', 'marital-status', 'occupation',\n",
-      "       'relationship', 'ethnicity', 'gender', 'loan', 'target'],\n",
-      "      dtype='object'). If you see an error these are not correct, please provide them as a string array as: categorical_cols=['col1', 'col2', ...]\n",
-      "WARNING:root:No categorical_cols passed so inferred using np.object, np.int8 and np.bool: Index(['workclass', 'education', 'marital-status', 'occupation',\n",
-      "       'relationship', 'ethnicity', 'gender', 'loan', 'target'],\n",
-      "      dtype='object'). If you see an error these are not correct, please provide them as a string array as: categorical_cols=['col1', 'col2', ...]\n"
-     ]
-    },
     {
      "data": {
-      "image/png": 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WXQrrv/MOWxbWlxrm/TnFBDafaBV1rzOTee9uwxy+SbcJ3yqkf0mStHE5ZUySJNXJ7bdfJQyS6hMRfGSz1izZasdKlyJJkj4gAyFJkvQvrVoZBqlBap4TnxVJkporAyFJktSkTZkyhYjgvvvu22jvOXLkSK644ooNumfw4MFMmjQJgE996lO8/XYxU7W6du1Kr1696NOnD3369OHss89ea9u11f2jK77LhEcfLqQeSZLUMriGkCRJWqtP/GoWMKuw/mZedtgG3zN27Fj22Wcfxo4dy8EHH1xYLSssXbqU1q2L/Zbo3nvvLbS/8ePH07Fjxw98/xnnfrvAaiRJUkvgCCFJktRkZSa33347Y8aM4f7772fJkiUAzJw5k49//OOccsop9OzZkxNOOIEHHniAQYMG0b17d5566ikA3n33XU4++WR23313+vbty1133QXAmDFjOPbYY/nMZz7DQQcdtM4aBg8ezDe/+U322GMPdtllFx599FEAFi9ezLBhw6iurua4445j8eLFdfd07dqVN998E4AjjjiC/v3706NHD66//vq6NptvvjkjRoygd+/eDBw4kNdee22D/m5Gjx7NbrvtRnV1NcOGDVvj+k9+8hMOPfRQlixezAXnnM4f76n57IfuVc3oyy7m84cfxPGfGsILzz7DV044msMG9eXWG39W9/f+g0sv4Kj99+LoA/bmD+N+s0G1SZKkps9ASJIkNVmPP/443bp1Y6eddmLw4MGrjLyZMWMGX/3qV5k2bRovvvgiN998M4899hhXXHEF3/3udwEYNWoU++23HxMnTmT8+PGcd955vPvuuwA8+eST/OIXv+Chhx5abx1Lly7lqaee4qqrruI///M/Abjmmmto374906ZNY8SIEUyePLnee3/2s58xefJkJk2axOjRo5k3bx5QE1YNHDiQZ555hn333Zef/OQna33/IUOG1E0Zu/LKKwG47LLLmDJlCtOmTePaa69dpf3//M//cPfdd3PnnXfSbtNN1+jv/3xsW26863767bEXF3z9dL5/3RhuHPdHfvz9/wLgwd/fzUvTn+O2+x/j+rF3cuWoC/n7a2+s9+9JkiQ1H04ZkyRJTdbYsWPrRr8MGzaMG2+8kaOOOgqAbt260atXLwB69OjB/vvvT0TQq1cvZs6cCcD999/PuHHj6tbVWbJkCX/9618BOPDAA9lmm20aVMeK9+zfv39d34888kjdej7V1dVUV1fXe+/o0aP57W9/C8Ds2bP585//zEc+8hE22WQTPv3pT9f1+8c//nGt71/flLHq6mpOOOEEjjjiCI444oi68zfeeCPbbbcdd955J23atAEWs7pPHngoADt/fDcWLXqXzTbfgs0234K2bdvyzvz5THlqAocMPZqqqio+0qkz/QcOYuIz0xl60Ccb8LclSZKaAwMhSZLUJC1btow77riDcePGMWrUKDKTefPmsWDBAgDatm1b17ZVq1Z1x61atWLp0qVAzdSnO+64g1133XWVvv/0pz+x2Wab1R2PGDGCe+65B4CpU6euUcuKvquqqur6Bta7I9vDDz/MAw88wJNPPkn79u0ZPHhw3bS3Nm3a1N2/ot9ly5bRv39/AIYOHcrFF1+81r7vueceHnnkEcaNG8cll1zC888/D0DPnj2ZOnUqc+bMoVu3bvXeu8lKf1dtNtmk7nyrVq1YtmwpSa7zc0mSpObPKWOSJKlJeuCBB+jduzezZ89m5syZzJo1i6OPPpo777yzwX0cfPDBXH311WTWBBxTpkypt92oUaOYOnVqvWHQ2uy7777cdNNNADz33HNMmzZtjTbz589n6623pn379rz44otMmDBhnX1WVVXV1bGuMGj58uXMnj2bIUOGcPnll/P222+zcOFCAPr27ct1113H0KFDmTt3boM/z8r67bk39939W5YtW8Zb897k6T89wR59enygviRJUtNkICRJkpqksWPHcuSRR65y7uijj+bmm29ucB8XXHAB77//PtXV1fTs2ZMLLrigsPpOO+00Fi5cSHV1NZdffjl77LHHGm0OOeQQli5dSnV1NRdccAEDBw78QO+18hpCJ510EsuWLePEE0+kV69e9O3bl3POOYcOHTrUtd9nn3244oorOOyww/jHW/M2+P32P+TT7PKJ3Tj2oH340nFD+dq3/5P/0/mD73ImSZKaHqeMSZKktXrhxB1YsEWXirz3mDFj1jg3dOhQhg4dCtSMyqmvbdeuXeuubbrpplx33XVr9DN8+HCGDx++1vceOXJk3euHH3647nXHjh3r1hDadNNNueWWW+q9f0UbgN///vf1tlkxogfgmGOO4ZhjjllvXyt77LHH1ln3wQcfzMEHH8y0OW9zyZU//lc9T/5rJNPhn/0ch3/2c/Ve+/p3LuHr37lkpd5frbcOSZLUPDlCSJIkSZIkqWQMhCRJkiRJkkrGQEiSJEmSJKlkDIQkSZIkSZJKxkBIkiRJkiSpZAyEJEmSJEmSSsZASJIkNWlTpkwhIrjvvvvW2/aUU05h+vTphbzv4MGD2XXXXenduzeDBg3ipZde+tB9jhw5kiuuuGKt18eMGcOZZ575od+nIe8lSZLKrXWlC5AkSU3XprcPYtMiOxw5f4NvGTt2LPvssw9jx47l4IMPXmfbG2644YNWVq+bbrqJAQMGcP3113Peeecxbty4QvtvSpYuXUrr1n5rKElSWThCSJIkNVmZye23386YMWO4//77WbJkCQDvvvsuhx12GL1796Znz578+te/BmpG9UyaNAmA0047jQEDBtCjRw8uuuiiuj67du3KRRddRL9+/ejVqxcvvvjieuvYd999mTFjBgAXX3wxu+++Oz179uTUU08lMwGYMWMGBxxwAL1796Zfv3785S9/WWefo0ePZrfddqO6upphw4atcf3uu+9mzz33pG/fvhxwwAG89tprQM3In5NPPpnBgwez4447Mnr06Lp7Ro0axa677soBBxywyoim2TNf5bQTj2HYpwYz/KhDeXXGywBccM7pfO8/R/DFz36Gq747cr1/D5IkqeXw10CSJKnJevzxx+nWrRs77bQTgwcP5t577+Woo47iD3/4Ax/72Me45557AJg/f82RR6NGjWKbbbZh2bJl7L///kybNo3q6moAOnbsyNNPP82Pf/xjrrjiivWOLLr77rvp1asXAGeeeSYXXnghAJ///Of53e9+x2c+8xlOOOEEzj//fI488kiWLFnC8uXL19nnZZddxquvvkrbtm15++2317i+zz77MGHCBCKCG264gcsvv5zvf//7ALz44ouMHz+eBQsWsOuuu3Laaacxbdo0brnlFqZMmcLSpUvp168f/fv3B+Di87/Gd/7rB+zQbSemTZnEqBHncsOva0Y7zXp1BtePvZOqqqp11itJkloWAyFJktRkjR07tm70zLBhw7jxxhs56qij6NWrF+eeey7f/OY3+fSnP82///u/r3HvrbfeyvXXX8/SpUv5+9//zvTp0+sCoaOOOgqA/v3785vf/Gat73/CCSew6aab0rVrV66++moAxo8fz+WXX86iRYt466236NGjB4MHD+Zvf/sbRx55JADt2rVb72errq7mhBNO4IgjjuCII45Y4/qcOXM47rjj+Pvf/857771Ht27d6q4ddthhtG3blrZt29K5c2dee+01Hn30UY488kjat28PwNChQwFY9O5Cnpn0FOd9ZXjd/e+9917d64MOO8IwSJKkEjIQkiRJTdKyZcu44447GDduHKNGjSIzmTdvHgsWLGCXXXZh8uTJ3HvvvXzrW9/ioIMOqhu1A/Dqq69yxRVXMHHiRLbeemuGDx9eN90MoG3btgBUVVWxdOlSAA4++GBee+01BgwYUDdiaMUaQissWbKE008/nUmTJrH99tszcuRIlixZUjdtbHUjRoyoG8U0derUVa7dc889PPLII4wbN45LLrmE559/fpXrZ511Fl//+tcZOnQoDz/8MCNHjlyj/tU/Q0SsUcPy5cvZYqutuPW+R+utcdPaAEmSJJWLawhJkqQm6YEHHqB3797Mnj2bmTNnMmvWLI4++mjuvPNO5s6dS/v27TnxxBM599xzefrpp1e595133mGzzTZjq6224rXXXuP3v//9et/vvvvuY+rUqeucPrYiVOrYsSMLFy7k9ttvB2DLLbdku+2248477wTgn//8J4sWLWLUqFFMnTp1jTBo+fLlzJ49myFDhnD55Zfz9ttvs3DhwlXazJ8/n2233RaAX/ziF+utf9999+W3v/0tixcvZsGCBdx9990AbL7Flmy7fRfu/11NbZnJS9OfXW9/kiSpZXOEkCRJapLGjh1bNwVrhaOPPpprrrmGzp07c95559GqVSvatGnDNddcs0q73r1707dvX3r06MGOO+7IoEGDCqmpQ4cOfOlLX6JXr1507dqV3Xffve7ajTfeyJe//GUuvPBC2rRpw2233caOO+5Ybz/Lli3jxBNPZP78+WQm55xzDh06dFilzciRIzn22GPZdtttGThwIK+++uo6a+vXrx/HHXccffr0YYcddlhlGt13R/+EUd/+v/xk9BUsXbqUg4cexa679foQfxOSJKm5MxCSJElrtfiYx1mwRZfC+uu8AW3HjBmzxrmhQ4fWrY1T3xb0Dz/88DrvB5g5c2bd6wEDBqxyz9r6Wtmll17KpZdeusb57t2789BDD9V7zworT/t67LHH1rg+fPhwhg8fDsDhhx/O4Ycfvs4+AJ577rm61yNGjGDEiBGrXJ82522267ID1/zq9jX6uuTKH6+zXkmS1HI1aMpYRBwSES9FxIyIOL+e61+PiOkRMS0iHoyIHYovVZIkSZIkSUVYbyAUEVXAj4BDgd2A4yNit9WaTQEGZGY1cDtwedGFSpIkSZIkqRgNGSG0BzAjM1/JzPeAW4BVxi9n5vjMXFR7OAHYrtgyJUmSJEmSVJSGBELbArNXOp5Te25tvgjUu5VHRJwaEZMiYtIbb7zR8ColSZIkSZJUmIYEQlHPuay3YcSJwADge/Vdz8zrM3NAZg7o1KlTw6uUJEmSJElSYRqyy9gcYPuVjrcD5q7eKCIOAEYAn8zMfxZTniRJkiRJkorWkBFCE4HuEdEtIjYBhgHjVm4QEX2B64Chmfl68WVKkqQy6tq1K7169aJPnz706tWLu+66q+7a5ptv/oH6HD58OLffvuYW7JIkSWWy3hFCmbk0Is4E7gOqgJ9l5vMRcTEwKTPHUTNFbHPgtogA+GtmDm3EuiVJ0kawx+TjC+3v2S88u8H3jB8/no4dO/LSSy9x0EEHcfjhh6//JkmSJK1TQ0YIkZn3ZuYumblTZo6qPXdhbRhEZh6QmR/NzD61X4ZBkiSpUO+88w5bb731GucXLlzI/vvvT79+/dYYRfTLX/6S6upqevfuzec///k17r3gggsYPnw4y5cvb9TaJUmSmpqGrCEkSZJUMUOGDCEzeeWVV7j11lvXuN6uXTt++9vfsuWWW/Lmm28ycOBAhg4dyvTp0xk1ahSPP/44HTt25K233lrlvm984xvMnz+fn//859SOcJYkSSoNAyFJktSkrZgy9pe//IX999+fwYMHr7J+UGby7W9/m0ceeYRWrVrxt7/9jddee42HHnqIY445ho4dOwKwzTbb1N1zySWXsOeee3L99ddv9M8jSZLUFDRoypgkSVKl7bTTTnz0ox9l+vTpq5y/6aabeOONN5g8eTJTp07lox/9KEuWLCEz1zryZ/fdd2fy5MlrjBqSJEkqCwMhSZLULLz++uu8+uqr7LDDDqucnz9/Pp07d6ZNmzaMHz+eWbNmAbD//vtz6623Mm/ePIBVwp9DDjmE888/n8MOO4wFCxZsvA8hSZLURDhlTJIkNWlDhgyhqqqK999/n8suu4yPfvSjq1w/4YQT+MxnPsOAAQPo06cPH//4xwHo0aMHI0aM4JOf/CRVVVX07duXMWPG1N137LHHsmDBAoYOHcq9997LpptuujE/liRJUkUZCEmSpLV6qv9YFmzRpWLvP3PmzLVeW7hwIQAdO3bkySefrLfNF77wBb7whS+scm7lUOjkk0/m5JNP/tB1SpIkNTdOGZMkSZIkSSoZAyFJkiRJkqSSMRAl4rf4AAAVUElEQVSSJEmSJEkqGQMhSZIkSZKkkjEQkiRJkiRJKhkDIUmSJEmSpJIxEJIkSU3W/PnzOemkk9hpp53YaaedOOmkk5g/fz5QsyX9zTffXNd2zJgxnHnmmZUqVZIkqVlpXekCJElS0zXzmGML7a/ziy9sUPsvfvGL9OzZk1/+8pcAXHTRRZxyyincdtttdYHQ5z73uUJqW7ZsGVVVVYX0JUmS1NQ5QkiSJDVJM2bMYPLkyVxwwQV15y688EImTZrEX/7yF84//3weffRR+vTpw5VXXgnA3LlzOeSQQ+jevTvf+MY36u67//772WuvvejXrx/HHnssCxcuBKBr165cfPHF7LPPPtx2220b9wNKkiRVkIGQJElqkqZPn06fPn1WGbVTVVVFnz59eP7557nsssv493//d6ZOnco555wDwNSpU/n1r3/Ns88+y69//Wtmz57Nm2++yaWXXsoDDzzA008/zYABA/jBD35Q12e7du147LHHGDZs2Eb/jJIkSZXilDFJktQkZSYR0eDzAPvvvz9bbbUVALvtthuzZs3i7bffZvr06QwaNAiA9957j7322qvunuOOO64RqpckSWraDIQkSVKT1KNHD6ZMmcLy5ctp1apmUPPy5ct55pln+MQnPsGcOXPWuKdt27Z1r6uqqli6dCmZyYEHHsjYsWPrfZ/NNtuscT6AJElSE+aUMUmS1CTtvPPO9O3bl0svvbTu3KWXXkq/fv3Yeeed2WKLLViwYMF6+xk4cCCPP/44M2bMAGDRokW8/PLLjVa3JElSc2AgJEmSmqyf/vSnvPzyy+y8887stNNOvPzyy/z0pz8FoLq6mtatW9O7d++6RaXr06lTJ8aMGcPxxx9PdXU1AwcO5MUXX9xYH0GSJKlJcsqYJElaq66338aCLbpU7P233nprfvWrX9V7rU2bNjz44IOrnBs+fHjd69/97nd1r/fbbz8mTpy4Rh8zZ84spE5JkqTmxhFCkiRJkiRJJWMgJEmSJEmSVDIGQpIkSZIkSSVjICRJkiRJklQyBkKSJEmSJEklYyAkSZIkSZJUMgZCkiSpSfrhD3/I1772tbrjL3/5yxxwwAF1x1dffTVnn302M2fOpGfPnvX2ceGFF/LAAw8AcNVVV7Fo0aLGLVqSJKmZaF3pAiRJUtP1s/95HXi9sP7OuHa/Brfde++9uemmm+qOp06dyvLly1m2bBlVVVU88cQTHHHEEevs4+KLL657fdVVV3HiiSfSvn37DS9ckiSphXGEkCRJapL69u3Lyy+/zOLFi5k/fz7t27enT58+PPvsswA88cQT7L333gAsW7aML33pS/To0YODDjqIxYsXAzB8+HBuv/12Ro8ezdy5cxkyZAhDhgwB4P7772evvfaiX79+HHvssSxcuLAyH1SSJKkCDIQkSVKT1Lp1a/r06cPEiROZMGECe+65JwMHDuSJJ55g7ty5ZCbbb789AH/+858544wzeP755+nQoQN33HHHKn2dffbZfOxjH2P8+PGMHz+eN998k0svvZQHHniAp59+mgEDBvCDH/ygEh9TkiSpIpwyJkmSmqxBgwbxxBNPsHjxYvbaay+6d+/Od7/7XTp16lQ3OgigW7du9OnTB4D+/fszc+bMdfY7YcIEpk+fzqBBgwB477332GuvvRrtc0iSJDU1BkKSJKnJ2nvvvbnuuutYsmQJZ5xxBp06dWL69Ol06tSpLswBaNu2bd3rqqqquilja5OZHHjggYwdO7bRapckSWrKnDImSZKarL333psJEybwxhtv0LlzZyKCTp06cdddd60yQqghtthiCxYsWADAwIEDefzxx5kxYwYAixYt4uWXXy68fkmSpKbKQEiSJDVZW2+9NZ06daJHjx515/baay9ef/11evfuvUF9nXrqqRx66KEMGTKETp06MWbMGI4//niqq6sZOHAgL774YtHlS5IkNVlOGZMkSWt18pmdWbBFl4rW8Pzzz69yPHLkSEaOHFl33LVrV5577rm643PPPbfu9ZgxY+pen3XWWZx11ll1x/vttx8TJ04svmBJkqRmwBFCkiRJkiRJJWMgJEmSJEmSVDIGQpIkSZIkSSVjICRJkv5l+XIys9JVqBmoeU58ViRJaq4MhCRJUp2YPZu333/fUEjrlJnMe3cp7ea/UulSJEnSB+QuY5IkqU7Vtdcx7ytf5s3tt4dWNb83WvL2+4X1P29Ru8L6UsO89o/FhfTzQryx0lHSbv4rbPf0fxfStyRJ2vgaFAhFxCHAD4Eq4IbMvGy1622BXwL9gXnAcZk5s9hSJUlSY4t33qH15d9b5dyjg39UWP9nXLtfYX2pYQ49/55C+pnZ7nOF9CNJkpqG9U4Zi4gq4EfAocBuwPERsdtqzb4I/CMzdwauBPx1kSRJkiRJUhPVkDWE9gBmZOYrmfkecAtw+GptDgd+Ufv6dmD/iIjiypQkSZIkSVJRGhIIbQvMXul4Tu25ettk5lJgPvCRIgqUJEmSJElSsWJ9u4hExLHAwZl5Su3x54E9MvOsldo8X9tmTu3xX2rbzFutr1OBU2sPdwVeKuqDqEE6Am9Wugipkfmcqwx8zlUGPucqA59zlYHP+ca3Q2Z2Wl+jhiwqPQfYfqXj7YC5a2kzJyJaA1sBb63eUWZeD1zfgPdUI4iISZk5oNJ1SI3J51xl4HOuMvA5Vxn4nKsMfM6broZMGZsIdI+IbhGxCTAMGLdam3HAF2pfHwM8lOsbeiRJkiRJkqSKWO8IocxcGhFnAvdRs+38zzLz+Yi4GJiUmeOAnwI3RsQMakYGDWvMoiVJkiRJkvTBNWTKGJl5L3DvaucuXOn1EuDYYktTI3C6nsrA51xl4HOuMvA5Vxn4nKsMfM6bqPUuKi1JkiRJkqSWpSFrCEmSJEmSJKkFMRCSJEmSJEkqGQMhSZIkSZKkkjEQkiSpGYiInpWuQZL04UXEwIjYYqXjLSJiz0rWJDW2iNi80jVoTS4q3cJFRFvgaKArK+0ql5kXV6omqSgRcTew1v+JZebQjViO1Kgi4jFgE2AMcHNmvl3ZiqTiRcQdwM+A32fm8krXIzWGiJgC9MvaH8QiohUwKTP7VbYyqfFExF8zs0ul69CqGrTtvJq1u4D5wGTgnxWuRSraFZUuQNpYMnOfiOgOnAxMioingJ9n5h8rXJpUpGuA/wBGR8RtwJjMfLHCNUlFi1zpt/KZuTwi/LlMzV5EfH1tlwBHCDVBjhBq4SLiucx0moEktRARUQUcAYwG3qHmm6xvZ+ZvKlqYVKCI2Ao4HhgBzAZ+AvwqM9+vaGFSASLiN8DD1ASgAKcDQzLziIoVJRUgIpYA3wOW1nP5nMzssJFL0noYCLVwEXE9cHVmPlvpWqSiRcSzrHvKWPVGLEdqVBFRTc3IicOAPwI/zcynI+JjwJOZuUNFC5QKEhEfAU4EPg/MBW4C9gF6ZebgCpYmFSIiOlMT6u9HzfcxDwJfy8zXK1qY9CFFxBPAWZk5uZ5rszNz+wqUpXUwEGrhImI6sDPwKjVTxgJIf1BWSxAR6/wBODNnbaxapMYWEY9QM0ri9sxcvNq1z2fmjZWpTCpO7ciJjwM3UjNd7O8rXZuUmQMqVpwkaZ1qp/qeBpyQmT9c7dpHM/O1ylSmtTEQauHW9gOzPyhLUvMSEV/LzKtWO/fV1b/hkpqziNgvMx+qdB1SY4qIn1PPCOfMPLkC5UiFiYjngU8B44DB1AxGqJOZb1WgLK2D2863cLXBTwfgM7VfHQyD1NLUbt86MSIWRsR7EbEsIt6pdF1SwU6q59zwjV2E1Mg+ERF1a0xExNYRcXolC5Iawe+Ae2q/HgS2BBZWtCKpGNcBf6BmpOfk1b4mVbAurYUjhFq4iPgq8CVgxWKjRwLXZ+bVlatKKlZETAKGAbcBA6j5wXnnzBxR0cKkAkTE8cDnqFlD5dGVLm0BLMvMAypSmNQIImJqZvZZ7dyUzOxbqZqkxla77fwDmblfpWuRihAR12TmaZWuQ+vn9oYt3xeBPTPzXYCI+G/gScBASC1KZs6IiKrMXAb8vHZRO6kleAL4O9AR+P5K5xcA0ypSkdR4WkVE3ZbctbvqbVLhmqTG1h3oUukipKIYBjUfBkItXwDLVjpexmpzOaUWYFFEbAJMjYjLqfnhebMK1yQVonaa7yxgr0rXIm0E9wG3RsS11Kyx8hVqph9ILUZELOBfawgl8BrwjcpVJKmsnDLWwkXE14EvAL+tPXUENbt2XLX2u6TmpXbx9Neo+S3yOcBWwI8zc0ZFC5MKEBGPZeY+q/0AAf/aNXLLCpUmFa526syXgf2pecbvB26oHf0ptRgRsQ01I4Pa1Z7KzHykgiVJKiEDoRKIiH7UrD0RwCOZOaXCJUmFiojNgMWZubz2uApom5mLKluZJEnSqiLiFOCrwHbAVGAg8KRrCEna2NxlrIWKiC1r/9wGmAn8CrgRmFV7TmpJHgTar3S8KfBAhWqRGkXtbnpbrHS8eUTsWcmapKJFRPeIuD0ipkfEKyu+Kl2XVLCvArsDszJzCNAXeKOyJUkqI9cQarluBj5NzRZ/a0wxAHasRFFSI2mXmXXbtWbmwohov64bpGboGqDfSseL6jknNXc/By4CrgSGAP+Bax+q5VmSmUsigohom5kvRsSulS5KUvkYCLVQmfnp2j+7VboWaSN4NyL6ZebTABHRH1hc4ZqkotXtvASQmcsjwn/H1dJsmpkP1u40NgsYGRGPUhMSSS3FnIjoANwJ/DEi/gHMrXBNkkrIbyRbuIgYBEzNzHcj4kRqfpN8VWb+tcKlSUX6GnBbRKz4ZurfgOMqWI/UGF6JiLOpGRUEcDrgVBq1NEtqF5b+c0ScCfwN6FzhmqRCZeaRtS9HRsR4ajbDcDc9SRudi0q3cBExDegNVFOzhtBPgaMy85MVLUwqWES0AXalZmrBi5n5foVLkgoVEZ2B0cB+1Ez9fRD4Wma+XtHCpAJFxO7AC0AH4BJgS+B7mTmhooVJktQCGQi1cBHxdGb2i4gLgb9l5k9XnKt0bVJRatcL+jqwQ2Z+KSK6A7tm5u8qXJokqYFqd4i8LDPPq3QtkiSVgVPGWr4FEfEt4ERg39pvttpUuCapaD+nZgH1vWqP5wC3AQZCavYi4huZeXlEXM2qmwQAkJlnV6AsqXCZuSwi+teuH+RvLCVJamQGQi3fccDngC9m5v+LiC7A9ypck1S0nTLzuIg4HiAzF0eEu9KopZhe++ekilYhbRxTgLsi4jbg3RUnM/M3lStJkqSWyUCohcvM/wf8YKXjvwK/rFxFUqN4LyI2pXb0RETsBPyzsiVJhTmOmtFuHTLzh5UuRmpk2wDzqFkra4UEDIQkSSqYawi1UBHxWGbuExELWHWKQQCZmVtWqDSpULUjgT4PfBHYDbgfGAQMz8yHK1iaVIiImA4cCowDBlPz//E6mflWBcqSJElSM2cgJKnZi4jJwEHAQGp+WJ6QmW9WtiqpGLVbzZ8G7EjNFtwrB0KZmTtWpDCpEUTEz6l/rayTK1COJEktmoFQCxcRA4HnM3NB7fHmQI/M/FNlK5OKExE/AsZk5sRK1yI1loi4JjNPq3QdUmOKiKNXOmwHHAnMdfF0SZKKZyDUwkXEFKDfit06IqIVMMlt59WS1E6p2QWYRc0ipCumRlZXtDCpABGxZWa+ExHb1HfdKWNqyWq/b3kgM/dbb2NJkrRBXFS65Vtl69bMXB4R/ndXS3NopQuQGtHNwKeBydRMpVllyhg1U8mklqo70KXSRUiS1BIZDLR8r9SuP3FN7fHpwCsVrEcqXGbOqnQNUmPJzE/X/tmt0rVIja2ezTD+H/DNCpUjSVKL5pSxFi4iOgOjqdm+NYEHga9l5usVLUyStEEi4kjgocycX3vcARicmXdWtjJJkiQ1RwZCkiQ1AxExNTP7rHZuSmb2rVRNUtEMPiVJ2nhaVboANa6I2CUiHoyI52qPqyPiO5WuS5K0wer7N9up32ppLloRBgFk5tvARRWsR5KkFstAqOX7CfAt4H2AzJwGDKtoRZKkD2JSRPwgInaKiB0j4kpqFpqWWhKDT0mSNhIDoZavfWY+tdq5pRWpRJL0YZwFvAf8GrgVWAycUdGKpOIZfEqStJH4G5eW782I2InaHTsi4hjg75UtSZK0oTLzXeD8iNg8MxdWuh6pkZwFXEBN8AlwP+BUd0mSGoGLSrdwEbEjcD2wN/AP4FXgBLfplqTmJSL2Bm4ANs/MLhHRG/hyZp5e4dIkSZLUDDllrAWLiFbAgMw8AOgEfDwz9zEMkqRm6UrgYGAeQGY+A+xb0YqkgkXEH2t3FltxvHVE3FfJmiRJaqkMhFqwzFwOnFn7+t3MXFDhkiRJH0Jmzl7t1LKKFCI1no61O4sBkJn/ADpXsB5JklosA6GW748RcW5EbB8R26z4qnRRkqQNNrt22lhGxCYRcS7wQqWLkgq2PCK6rDiIiK7UroMoSZKK5RpCLVxEvEo930hl5o4VKEeS9AFFREfgh8AB1PxC5z7gq5k5r6KFSQWKiEOoWfvwf2tP7QucmplOG5MkqWAGQi1cRGwKnA7sQ00w9ChwbWYurmhhkiRJ9YiIzsCpwFSgHfB6Zj5S2aokSWp5DIRauIi4FXgHuKn21PFAh8z8bOWqkiRtqNpdI38IDKQm4H8SOCczX6loYVKBIuIU4KvAdtQEQgOBJzNzv4oWJklSC+QaQi3frpl5SmaOr/06Fdi10kVJkjbYzcCtwL8BHwNuA8ZWtCKpeF8FdgdmZeYQoC/wRmVLkiSpZTIQavmmRMTAFQcRsSfweAXrkSR9MJGZN2bm0tqvX+Fiu2p5lmTmEoCIaJuZL+IvsiRJahStK12AGt2ewEkR8dfa4y7ACxHxLJCZWV250iRJG2B8RJwP3EJNEHQccM+KnSMz861KFicVZE5EdADupGan1H8AcytckyRJLZJrCLVwEbHDuq5n5qyNVYsk6YOr3TVyhRX/eMeKY3ePVEsTEZ8EtgL+kJnvVboeSZJaGgMhSZKagYj4LDU/GL8TERcA/YBLMvPpCpcmSZKkZsg1hCRJah6+UxsG7QMcCIwBrqlsSZIkSWquDIQkSWoeltX+eRhwbWbeBWxSwXokSZLUjBkISZLUPPwtIq4DPgvcGxFt8d9xSZIkfUCuISRJUjMQEe2BQ4BnM/PPEfFvQK/MvL/CpUmSJKkZMhCSJEmSJEkqGYeaS5IkSZIklYyBkCRJkiRJUskYCEmSJEmSJJWMgZAkSZIkSVLJGAhJkiRJkiSVzP8Ha+7olFyS//YAAAAASUVORK5CYII=\n",
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\n",
       "text/plain": [
        "<Figure size 1440x360 with 1 Axes>"
       ]
@@ -928,7 +888,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1440x360 with 1 Axes>"
       ]
@@ -940,7 +900,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1440x360 with 1 Axes>"
       ]
@@ -962,12 +922,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -984,12 +944,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -1006,12 +966,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1028,14 +988,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 40,
    "metadata": {
     "scrolled": true
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1047,7 +1007,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1059,7 +1019,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1081,14 +1041,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 41,
    "metadata": {
     "scrolled": true
    },
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1105,12 +1065,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1122,7 +1082,7 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1134,7 +1094,7 @@
     },
     {
      "data": {
-      "image/png": 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n9BTgBSAKqAF+LaUs8meZFGUfb0OD1kC+dy+uvL1ae0hZGdE334RtcvfTnQ+1IIuBhFArRbXNxIdaSI8K4MSMSIpqHXy8vQKHy9slUPxm9G9IDEzUqqJ0IUQ16Aitd2OosuMuLcVTVo67vAxPWS6e8nK8dXVtxzoTToHMC6l/6y2s4YEYoqMxZ2URcMIJGKKiWrdIVjes49G8F1lx6ecEWkOQyLZR6S3btmF//32InwhxE+G856CuAAKiIDAaPr4HCr+HZ07QLnr877WBfIYjZFT7UchvgUIIoQeeBGYDRcB6IcQKKeW2dtkeBl6WUi4TQswEHgB+468yKUcfKSWeigqcubm4du/Bmben7dFb2a6dQAgMcbF4Skpp/uHHgxYoLEY9X982s8v+V77dy8fbyvHV1NC8pxJ3SQnu4hLcpaUYS0uZUVqCp6QUb10dbqCy3bH68HAMsTEY4+KwTp6EMSYGQ3QMhpgYHMVWfv6sjoy1a7EG9fzF3by9gLpKwVkrz6HeWU+4JZxPLvgEg66br4ysuR1fn7EEmf8dXgLhv7dh+OYJ2L4Srt8IXo/WEN5Yrm0NZRAcD5mzB/T5KQeHP+8opgK5Uso9AEKI5cDZQPtAMQa4sfX5Z8B//Fge5SjSsmkzey/6Jc7du/E1NLTt1wUHYx4xgsCTTsaUlop5xAhMKSkYk5PB7WbnMQNq6xswb0MD7sJCXIVFrWNBinAVFTH25728W1FG9Xtuqtvl1wUGYoyP14LAxIkYY+MwxsViiI3FGBeHIToanbnn9buNnxUCdX22/0yPm86clDmEmEPIt+ezrmwdV6+5mqrmKiy7S7kX2PT1fxjX1IS7vBxXWSlNpUW4ysvwVVahq7Gj83hBBJF5TRaG2hxYkgmOKug0NQoGK1z0KqScAEbLgD9LxX/8GSgSgMJ2r4uA4zrl+Qk4H6166lwgSAgRIaWsRlEGyJyVRdNXXyGMRoLPnI85IwNzegbmjHT0ERE9fkn63O4hL4uUEm91Na6CAm0MSP5e3AWF2hiQggK89fUd8uuCgzEmJtASn8yntjQuPXc6oSOSMSYkYIyPRx8UNORl7M6I0BH8/dS/A/BtybeUO8pxep1khGaQkjYKeJ/w1z6m5DVtsKDDDDWBUBsoqI2C2hEQbhectE3yccqJ1EUa+EVgBrbgBK16KjBWmxZ96zvw3VPwr/O0aqyFr0Jo0kF5j0r/+TNQdPe/sXNf3JuBfwohLgO+AIqBLsNBhRBXA1cDJCcnD20plSNOwhI/LSTUC29jE668vP1tHu02X1O7BYT0eozx8ZiSkrCcPg9TUhLGxCRMSdo4EH2w1uj79bd7WfreVq656DSCArU7BI/XR2GNg4hAU5d2C3+aHj+dleeubHvt8/n4W/Fe6jyNGGNiscUlEBGeQLQtmnhbNJNs0ejQseRvZ3PSNsmje/5NSYSgccQFpASn0Oxp5vTUuRj1RogaCRmztJ5S/70Z/nsTvgv+pTWyt22VeCq1R+vkSYRddNH+wnmc+6uwGkpbH1urs6ZeddA+oyOdP//aioD2Pw0SgZL2GaSUJcB5AEKIQOB8KWXHn1havmeBZ0EbR+GvAitKb/bdHThzd+PcnYtrTx7OPbtx7cnDU16+P6MQGBMSMKWmEjJpUus4EG0MiDEhAWHs2uW1Jw+s2kFFQwsFNQ6Ka5vx+CSnjY5h6aUHt4qsPZ1Ox59+3/v8WADXTLgG3nuKe4+/l6t23sNjG/6BzQkRdhDxG4lsFLSUFOEpr0BU1WKpCCGqYSu+P0/sejK9DiGg+es1hHne2h8YHD1UPugMKlAMIX8GivVAphAiDe1O4SLg4vYZhBCRQI2U0gfcjtYDSlGGnbe+HueuXbTs2oXz55+1xvDc3R16EOkCAzGNGEHAtGmY0tO1No+0NIxJSb22E/RHbIg2SciabWWkRAQwLiGE+ePjWLW5lPrmrgPjDkUjQkdQAsQ88iav1Uagq6xD1+JsTX0dAB9gD4D6YD15wZKKGC9NgToabR4u9NgJsHowWH3oTT5Kvg2jpd6rBYfQZG2Vv6A4CIrt+Pjtk/D1Y8P1to9IfgsUUkqPEGIx8BFa99gXpJRbhRD3ATlSyhXAqcADQgiJVvX0O3+VR1H6q/KJJ6hYsqTttS44GHNGBkGzZ2POzMCUno45IwNDdLTfBgXOHhPDjj/Pw2LsOD3IxsI63N6uc1EdiswZmZjS0kBA2OiJGGfGoo+JYbu+HKIjCU/OJDppJKODYsity+X29y/AKA1YhYEa6WZm+lVERE3YHwDufhC2badl0buUO8rRCz2JQd0stCR0WoP5lne0O4+EYyC5c/OociD8WtEppVwFrOq07652z98G3vZnGRSlv4TNRsiC88HtxpyVhTkzE3NWFoaYmGGZTbdzkBgMKSVVjS7yqx0AbC+1MzkzYsjO3x3LyCzSP1jVZf9J3eTNCsti3a9zMAgDnxZ8yg2f38CnQUF84SykrGY95Y5yTirJIbqhkXNePRYAo87IVxd9hc1o63gykw2Q8Pbl2uvEqXDlmqF9c0cZNTJbUVoJIYj/y1+GuxgDJqWkstFJfrVDW562uom9VQ72VjeRX+2g0elhslPPaZh48MMdLM88YbiL3IFRp7Xd7Pvif2rjUwCEmkOJDYjForcQYPRx3eSr+Ln2Zz7Y+wEur6troJj6W+0uIiAKPvgj1OXD14+DvQQaSrR1wp0NcN7/afmUPqlAoSiHGZdXsqW4nt2VjeypbGp7zK9uoqnd8rQGnSAp3EZKhI1jU8NJjbARVNhC2eeleHyHbp+Q4+KOY/mZywk0BhJji8Fi0MZWFH92Ey3V27hqwlW8uv1VPtj7AXP+PYdbj72VBVkL9p/AHAgjTtWeB0bD3i9hzZ1gDNB6QwFU/wzPzYRjLoOzVHtGX1SgUJTDiE4Ifiqs48wnvgK0xacSw6yMiAxkapoWDFIjA0iLDCA+1IpR33Fm3E2fFVI2HAU/ADqhY2zE2F7znJhwIr9IO4tvtqxib9XPkNVDxl88ASffqs1saw7WPjCfDz66Hba9B6WbwNmo3W3Yi1u3kv2PXjdc+PJRP1eVChSKchi5blYm00aEMyIqkPSoQFIibEPalgHaeI2i2mbyqprYU9WEx+vj6pNHDNuqhz6fVqXW5PIiKyrIv+xy3CUl/Ka0lF+73ZRN+QyOvx3Qqt8kEp1oDZCmgK6z2Op0cPqD2gJNuWvggYSuFw2I0kaM1xdAzR6In+Tnd3loU4FCUQ4jU9PCmZoWPvgTSUm5vYU9lU3kVTWRV9XYFhgKqh1dqqbOGB9HUrith5MNXqPTQ2GNg8IaBwXtH2ubKaxx4PT4OLfMxG8Dg5AtLVjHjcU4ZzZb33kRZ1Ul1358LaVNpZQ0lhBli+owQLBH066B8DStOio4sfUxXuthZbTAjlWw/Jd+e8+HExUoFOUotKXEznF/3b/wkdmgIy0ygJExQcwbG0taZAAjogLYWFjPn1duY7Drm3m8PkrrW7RgUKsFgYKaZgpqHBTVOKhu6jg2JNBsICncRnpUADNGRlHrcPM2p3D1E/9Latz+aqD1X7yJz9FMVXMVyUHJmPQmtlVv63z57mWcpm1Kn1SgUJSj0MXHJZMWH0RaZCBpUQHEBVvQ6bpWLe2tcvT7nFJKyu1O9rTeneS13a00UVDT8S7FoBPEh1pJDrMyLz2KeL2BcK/A7PAh7W4aq5oJFwGc9RutyufDLaW8vaHrCgTjI8fj3JvHE9uPxV1cTPGuUijzsLngITJvu2loquWWngYn3aTdgVjDBn++w5AKFIpyFLp17igsgf2fSqS9+mb3/uqqSq26al9AcLTrdWUx6kiNCGBUXBDzRseQYDAQ6hGYm314613UlzdTt8WB26kFoxrAaNYTFmtDpxOU59u7vX5Di7u1eqoZq8dIdEkpFcteoSownJJgSZaEnE++Z+0Je1g8M3NA7xGAxGNhwkWwaTms/Zu2nfcc1BdqXWy9Lpj/dzBaB36Nw4QKFIqi9Omvq7ZT1egkr6qpQzWRTkBSuI0RkQEclxpOSqCFGPQEuSQ+u5u6cgd12x3Yq+upk7BvApSgcAuhsTZGp8cRGmMjLNZGWGwAthATQgi+WL6LXeu79s9a8PQ3HbsAx55O/NkzCUmIITE8kDrzSn79z+UIoNHp7XL8AQmM0sZajDsP3r9BG4PxTuv8UUYbuB3afFLxB2ftkuGkAoWiKD2KC7Wg1wl+KKglLTKAOWNjSA2zkWAwEuYVGJq8NFQ0U1vuoO6nKhpbvOxbUNVg0hEaYyMmLYSR0+IIi7URGqNtRtOBVQlNTg5j/vg4Qm1GksNtJIXbtMcwW4d1xZ/a+D1Ahx5aUsoOr50eL8W1zR0azTNjgrgwu4fpzbPmwu9zoHiDNj16SALkfQGvXwS+QQajw4QKFIqidCGlpLnBTarPwH/mTaC+opm6cge1PzbRUFVFvoT81ryBYWZCY2yMPC6W0NgAwmJshMbaCAw1I7pp9xiImGALT/5qSr/zC3MJqyrvYdXr1dhdNUw0/Y4W+2gKaxyU2lu6NM4nhFp7DhSgdbNNO7nr/qWzYNZdWhvGEUwFCkU5ink9PuxVzdSWOagta9KCQZmDunIHTsf+pWH0Rh2h0Taik4PIOjamraooJNqKyXLofI3E2GIAEPoGqhx2fO4IjMFlbK7cSaI5iPRUO6MttWSGJDEnYBwJI1N5aHUu3+3pe600r09SWt+Mw+UlK3k6TF8MOS/A7s+0+aTSupvF6shw6PwLK4py0Kx+YSsN1S3UVzYj2/VGsoWYCIuxkZEd03ZnEBZjIyjcMmR3B/50ftb57A7/F46QSJ6cfhcRjcU8uuoKYmtXElP7PrG1EFsniawHvYSmxVdC9Cx8unp+KP+BQEMkrpaQtiqpgnbjOorrmnF7tc/qoxtOZuTc+2HnB9oUIYXfw52VfZTu8KUChaIcRUKibZgseprqnETEB5A+OUprO4gNIDTGhtl6+H8lCCEw5HxH7MI5ANzaut8baEWXFE95nOA/YjdnfydZsf55Ppn5Ot4YJ5d+qOVzVs1AZ6zB05RJVNMERlrsJKeYmZylI0iO5uXvCmh0ti6b+5t3Ye1DsPFfB/+NHkSH/1+Foij9ljI2gqv+ccpwF8Ovwi++GMf6HIwpyZiSUzClJGNKSkIfGgrAGOAEr4sdkyeTFJjIabbJOHa4MNm/IqKmkbjaT4iu9RFTt4Hg5uUA/P1cHR+P0jEudBp66wRgOl6fl3KjEbctmBQAj0vrOlu7V+sRNepMbW6pI4AKFIqiHFFCFywgdMGCXvOY9CZMejOTPy1k8icF+xN0OgzxcdTHWMlLd2AMDWfkyi2cGXUq3/MFW+q+w5b6HX/8fhXVX5Th8WntOJ/pdUTeH6MtmLRP5EhtTqn0Gf54mweVChSKohyVon53Le6yckzJyfvXNI+PR5hMAGQD7rIyclfO4ATDSD6JPYP/fv4adbt3kioclF61gO2ijM+LPufy1EzSzREIUwD3xs2k9NN70dXvIXPrOypQKIqiHK4irryyzzxCr433qHrqaQCmAS16IxZvE6dxHIEzZ7E6fzXLti7jk6rN0Awf1++E+GgAFjTtpOrT31PUUESBvYB7T7iXM0ec2eEabq+b0qZSihqKKGos6vjYUMTUuKn8Y8Y/hvbNHyAVKBRFUXpgiIoifskSEAJTchI57gDufu4Tnvz80bY8M62TODEyjGpRyGvhu4gMiGJb9TbW5K/hXWcpaZUeEqPGkluXy51f38meuj1Ut1S3BYIyRxm+dlVWRp2RhMAEEoMSsbvs7K7bPRxvvQO/BgohxDzgMUAPLJVS/q1TejKwDAhtzXNb6zrbiqIoh4SQs/bfAchd+7vAlv35L3hvvgXZ0tK27/q33sQ6fjwA9qemE1SxDSGKYMFHfFb8Fc9seobnNj9HpDWSxMBEJsdMJjEwkcSgxLbHaFt023oat669le012w/SO+2Z3wKFEEIPPAnMBoqA9UKIFVLK9nMA/y/wppTyaSHEGGAVkOqvMimKogxWWUAE3olTCAwLxpSSjDElBZ/dTuU/HkM6nW35ghd9CJ//Db57Cv4cyYwxZ3Nq+BjcVgum+kIYfTaM773R/VCX8lizAAAgAElEQVThzzuKqUCulHIPgBBiOXA20D5QSGDf5PIhQIkfy6MoijJoDqMF50NPkJQSTkOLNpNu2Wdf0mUCEEsITLkUHNWw6Q3Y9h5C6DGFJkN9Eez5XAUKIAEobPe6CDiuU557gNVCiN8DAUC3q4gIIa4GrgZITk4e8oIqiqIciD+9s4XqJhdVjdodxKTK3TzQXcboUXDes3DyLSB0EJoMeiP8fTQUfAdfLNHSetHobuS93PeYmzoXi8Ey9G+mH/wZKLobadJ5naxfAi9JKf8uhJgOvCKEGCdl+87IIKV8FngWIDs7e5BrbSmKogxMWmQA6VEBBFkMTEwKIS0ykBFRAax7uwq+7uXAyE7rYoSnQf7X8OlfIHm6tvaFwdzlMJvRRlVzFf/79f8SaAxkTMQYChoKKGgooLChkAZXAzcdcxOBpsChfaOd+DNQFEGHu7FEulYtXQHMA5BSfiuEsACRQIUfy6UoijIgSeE2Prnp1C77d/z3ABeBuuy/8NUj8Ml98NJ8OPf/YOJFXbL9IfsPHBNzDH/66k/c+PmNyHa/tQUCieT01NOZGjf1QN/KAfFnoFgPZAoh0oBi4CLg4k55CoBZwEtCiNGABThyZ9ZSFEUBbWqPYy4HczCsuhlcjd1mCzYFMy9tHluqtmA2mEkKSiI5KJnkoGQKGgq4cvWVvJv7LkIIJkRNoLixmFhbLDajbUiL67dAIaX0CCEWAx+hdX19QUq5VQhxH5AjpVwB3AQ8J4S4Ea1a6jIpB7uMu6IoymHAFg5jztYCRS+MOiO3H3d7l/1N7iYAVu5Zyco9K9vuMM4ccSYPnNRti8mA+XUcReuYiFWd9t3V7vk24AR/lkFRFOVIlBGWwdqFa/ms4DNyynNIDkrm3z//mwZXw5BfS43MVhRFGW71RdBUBQGRB3RYuCWc87PO5/ys8wH4rPAzf5QOnV/OqiiKovRN1/pb/atH4c1LhrcsvVCBQlEUZbjYwuG8pRAzDhpKoXjDoE9pd9nZWrV1CAq3nwoUiqIow2nCBRCRDjV74LmZ8PdRsG3FgE5l1Bn5seJHLvrvRRQ2FPZ9QD+pQKEoijJMfA4HzVu30pJyCZx8K+iM2p3Fzx8N6Hx3TLuDhSMXAuBwO4asnKoxW1EUxc+8jY24du/GmZuLM3c3zj27ceXuxl1cDICwWBj5wwbEzDvgkTEDvs6YiDGUNJbwxs43ePzHx1k4ciEnJ5486PKrQKEoijJEfM3NNG/ejHPXz1pQ+PlnnLt34yktbcsjTCZMI0ZgnTSJkPPPw7l9Ow1rPt5/EqGD3E/gu2dg2jUHXIa4gDhMOhNfFn2JRW9RgUJRFOVQUnjV1W3PhcmEKT0dW3Y25owMzBnpmDMyMCYmtq2cB1D55JMdA8Wcv8Bnf4UP/6h1l82aC+agfpdhbORYcn6dwznvnTMk7wlUoFAURRm0qqQM1mSdxNyTxlASFs9OaxQ/eQLJrXaweGYGZ09K6P/Jxp4D9YWw+n/h31fAL56AKQfWdVaI7uZkHTgVKBRFUQbJa7HyyJizeaQaqAadcJAaIcivcbAhv/bAAgVo80CFJMJbl4HH2Wd2f1OBQlEUZZAunppMiNVIelQgo2KDyIgOxGLUM/m+1QM7oTkQX9xUXHUGXM/9GedL7+A0ZGEZO5bI317d9/FDTAUKRVGUQRqXEMK4hJBBnaPhww+1HlGtjeCuggLwRmuJYi/CWELLzh0qUCiKohzJXB4fe6oaqWpwcUJGBEIIhMkEQPEfbgKdDlNyMubMDILmzdUawX9eiklfTmn+CTRv3jQs5VaBQlEUxY9+KKjlutd/ZGdZA7srG/H4tJUU3r32eCYnhxF24YWYkpIxpSRjGjECnbnTSnfLX4PagTVOf1H0BeOXjefqCYO7C1EjsxVFUfwkLMDElmI7G/JrSQizctXJI/ifU9MBaHZ7AdCHhBA8by6W0aO7BolBmJU8ixZvCwDPbnp2UOdSdxSKoih+smLxiXh9khDr/qVSv9tTzdOf7z6wEzmqoXwLNJTDz2sgc3afh1w35ToWT17M3vq9RNmiCL4s+ECL30YFCkVRFD8JNPf/K7bJ6UEnBFaTvmOCOUib/6miBVxG+Gk5BERBXQGkzwRzYI/n1AkdI0JHDLT4bVSgUBRFGQbf7a5mXV4NO0ob2FFmJ7/GwYjIAD656dSOGU9/EKb/DuwvwlcfwJa3tQ0GNBhvIPwaKIQQ84DH0NbMXiql/Fun9EeBGa0vbUC0lDLUn2VSFEUZTiaD1jT8+Ke5CAFpEQGMiQ8mwGyguK656wGWEIgdDzq9tn7FKZdAcDy8f91BG4znt0AhhNADTwKzgSJgvRBiRes62QBIKW9sl//3wGR/lUdRFOVQMCkxlOcuySYqyExWTCA2k/Y1fPd7W7oPFO2ZA2HG7dqyqe9fdxBKq/HnHcVUIFdKuQdACLEcOBvY1kP+XwJ3+7E8iqIow06nE8weEzPcxTgg/uwemwC0X2KpqHVfF0KIFCAN+LSH9KuFEDlCiJzKysohL6iiKIrSM38Giu5GiMge8l4EvC2l9HaXKKV8VkqZLaXMjoqKGrICKoqiHNa+exq+eNjvl+m16kkI8Yfe0qWUj/SSXAQktXudCJT0kPci4He9XUtRFEVpZQ6C6LFQsxt+WAZxEyHjNBji6cX36euOIqiPrTfrgUwhRJoQwoQWDLqsGC6EGAmEAd8eWNEVRVGOUgYzXPsNjJqvjad4dQGUbfbf5XpLlFLeO9ATSyk9QojFwEdo3WNfkFJuFULcB+RIKfcFjV8Cy6WUPVVLKYqiKN057R4ITYGvHvFrV9m+qp4e7y1dStlr/ywp5SpgVad9d3V6fU/vRVQURVG6FZoMKSdogaIdb2Mjzl27cO7cScvOnTh37hrUZfrqHrthUGdXFEVR/EZ6vbiKK3AWWnDefjktdSac9WbclXVteXTBwViysgZ1nb6qnpYN6uyKoijKkPE5HNQuX07L9h04d+ygZdcuZHMzEA7CgymoBWuom9CrrsA8+UQso0djiI3V1tB+9V8Dvm6/BtwJIaKAPwJjAMu+/VLKmQO+sqIoitJvwmzCW1lF2T33ogsJwTJyJGEXXoA5ayTmUSMxx4ejW/dP+Paf0PB3iBgJcUPzFd3fkdmvAm8A84FrgEsBNfJNURTlIIm67nqC58zBnJmJIS5Ou0vobNq1YAqAtQ9CS/2QXbu/A+4ipJTPA24p5Vop5SJg2pCVQlEURemVMSaawFNOwRgf332QAAhJgKm/HfJr9/eOwt36WCqEmI82cC5xyEujKIqiHHL6Gyj+IoQIAW4CngCCgRt7P0RRFEU5EvQrUEgpV7Y+rWf/+hGKoijKEJIS9lQ2sqXEztbiejYX17OzrIHfz8zgshPShq1c/e31tAy4XkpZ1/o6DPh7a1uFoiiKMgTqm93M/PtaAEx6HaPigmhwethZ3jCs5epv1dOEfUECQEpZK4RQiwwpiqIMkQXHJKHX6RgVG8TYhGCyYoIw6nVMvf/j4S5avwOFTggRJqWsBRBChB/AsYqiKEofxieGMD4xZOhOuO0/2tKp4xcM+lT9/bL/O/CNEOJttDUlLgTuH/TVFUVRDiNSSurKHZT8XEfp7npKd9eTOi6CkxYOboqMIWW0gjEA8r+G5tqDFyiklC8LIXKAmWgLEp3Xfu1rRVGUI5HX66OqoJGS3DpKc7Xg0NKojRawBhnxeiQV+fZhLmUnJhvcvBP+fRXU5Q/JKQ+k+igcaJJSviiEiBJCpEkp84akFIqiKIcAV4uH8jx7a2CopzyvHo/LB0BwlJXUcRHEZYYSlx5CaIyN9x/fiNvZ7cKcflXvcFNmbyErJrD7wXfmINAPXetAf3s93Q1kAyOBFwEj8C/ghCEriaIoykHmsLso3V1H6c/1lO6uo7KwEemTCAERiYGMOSGeuAwtMASEmoetnAU1Dp76PJetxXY2F9dTUOMA4J1rj2dKcpjfr9/fkHMuMBn4AUBKWSKE6GuFO0VRlEOGlJL6ymatCim3npLcOuormgHQG3XEpAZzzLwU4tJDiB0Rgsl6aPTXMRt1fJ1bzde51SSFWxmfEMLx6REsX19IQ4vnoJShv5+ES0ophRASQAgR4McyKYqiDJrP66O6uKm14VkLDg67CwBzgIG49FDGnBhPfEYoUclB6A39nfru4Hr6V8dQ53AzLiGYUJsJgA35tSxfX3jQytDfQPGmEOL/gFAhxFXAImCp/4qlKIpyYNwuLxX72hd211O2px53i9Z+EBRuIXF0GHHpocRnhBIWa0PoephY7xAzLmEIu8wOUH97PT0shJgN2NHaKe6SUq7p6zghxDzgMbQ1s5dKKf/WTZ4LgXvQut3+JKW8uP/FVxTlaNXS6KZ0dx0lufWU5tZRWdCAzytBQER8ACOPiyUuI4S49FCCwi19n1DpUb8r4VoDwxoAIYReCPErKeWrPeUXQuiBJ4HZQBGwXgixon23WiFEJnA7cELraO/oAb4PRVGOYFJKGqpbKN1d39Yjqba0CQCdQRCTEsyk05KJy9DaFywBxmEu8ZGl10AhhAgGfgckACvQAsXvgFuAjWgLGvVkKpArpdzTeq7lwNlA+/EXVwFP7hvxLaWsGNjbUBTlSOPzSDZ/XtQ2fqGx1gmAyWogLj2EkcfFEJcRSnRKEAajfphLe4iqK4TXL4Zznx7Uafq6o3gFqAW+Ba5ECxAm4Gwp5cY+jk0A2re2FAHHdcqTBSCE+BqteuoeKeWH/Su6oihHKp1B4HZ6+WL5LgJCzcRnhGjdVDNCCY8PQHeYtC8Mq6jR8PMa2PlfqNw5qFP1FShGSCnHAwghlgJVQLKUsj9TGXb3Lym7uX4mcCraQkhfCiHGtZ+AsPXaVwNXAyQnJ/fj0oqiHM4mn5ZMTGowManBBEVYel7RTenZzDsg+Tj41/nw3eDuKPrqD7ZvZTuklF4gr59BArQ7iKR2rxPRVsbrnOc9KaW7dZT3TrTA0YGU8lkpZbaUMjsqKqqfl1cU5XAVEGomMzuG4EirChKDYQ3XHre/P6jT9BUoJgoh7K1bAzBh33MhRF8TnKwHMoUQaUIIE3ARWjtHe/+hdSEkIUQkWlXUngN/G4qiKEoX8ZPhD9vhT51/ox+YXquepJQDbiGSUnqEEIuBj9DaH16QUm4VQtwH5EgpV7SmzRFCbAO8wC1SyuqBXlNRFEVpRwgIjh/0afw6Rl1KuQpY1WnfXe2eS+APrZuiKIpyCDo0x6wriqIohwwVKBRFUZReqUChKIqi9EoFCkVRFKVXKlAoiqIovVKBQlEURemVChSKoihKrw6Ntf4Gye12U1RUREtLy3AX5ahisVhITEzEaFRTOivKkeyICBRFRUUEBQWRmpqq5oU5SKSUVFdXU1RURFpa2nAXR1EUPzoiqp5aWlqIiIhQQeIgEkIQERGh7uIU5ShwRAQKQAWJYaA+c0U5OhwxgUJRFEXxDxUohkhzczOnnHIKXq8XgHnz5hEaGsqZZ57ZId9JJ53EpEmTmDRpEvHx8Zxzzjndnm/ZsmVkZmaSmZnJsmXL+rz+LbfcwqhRo5gwYQLnnnsudXXa2k8ul4vLL7+c8ePHM3HiRD7//PNuj9+4cSPTpk1j0qRJZGdns27dOgDeeOMNMjIyurwPRVGOHipQDJEXXniB8847D71em5n9lltu4ZVXXumS78svv2Tjxo1s3LiR6dOnc95553XJU1NTw7333sv333/PunXruPfee6mtre31+rNnz2bLli1s2rSJrKwsHnjgAQCee+45ADZv3syaNWu46aab8Pl8XY6/9dZbufvuu9m4cSP33Xcft956KwALFy5k6dKlB/ZhKIpyRDkiej21d+/7W9lW0teaSgdmTHwwd581ttc8r776Kq+99lrb61mzZvX46x2goaGBTz/9lBdffLFL2kcffcTs2bMJD9dWp5o9ezYffvghv/zlL3s835w5c9qeT5s2jbfffhuAbdu2MWvWLACio6MJDQ0lJyeHqVOndjheCIHdrn1u9fX1xMcPfg57RVGODOqOYgi4XC727NlDampqv4959913mTVrFsHBwV3SiouLSUrav4psYmIixcXF/T73Cy+8wOmnnw7AxIkTee+99/B4POTl5bFhwwYKCwu7HPOPf/yDW265haSkJG6++ea2OxJFUZQj7o6ir1/+/lBVVUVoaOgBHfP6669z5ZVXdpumrefUUX97GN1///0YDAZ+9atfAbBo0SK2b99OdnY2KSkpHH/88RgMXf/Zn376aR599FHOP/983nzzTa644go+/vjjA3hHiqIcqdQdxRCwWq0HNJ6gurqadevWMX/+/G7TExMTO/zqLyoq6ldV0LJly1i5ciWvvvpqW2AxGAw8+uijbNy4kffee4+6ujoyMzO7PXZfe8kFF1zQ1pitKIri10AhhJgnhNgphMgVQtzWTfplQohKIcTG1q37n9iHuLCwMLxeb7+DxVtvvcWZZ56JxWLpNn3u3LmsXr2a2tpaamtrWb16NXPnzgXgkksu6fZL/MMPP+TBBx9kxYoV2Gy2tv0Oh4OmpiYA1qxZg8FgYMyYMV2Oj4+PZ+3atQB8+umn3QYTRVGOTn6rehJC6IEngdlAEbBeCLFCSrmtU9Y3pJSL/VWOg2XOnDl89dVXnHbaaYDWDXbHjh00NjaSmJjI888/3/Zlv3z5cm67rWPczMnJ4ZlnnmHp0qWEh4dz5513cuyxxwJw1113tTVsb9q0ibi4uC7XX7x4MU6nk9mzZwNag/YzzzxDRUUFc+fORafTkZCQ0KEn1pVXXsk111xDdnY2zz33HNdffz0ejweLxcKzzz479B+SoiiHJX+2UUwFcqWUewCEEMuBs4HOgeKIsHjxYh555JG2QPHll1/2mLe73lDZ2dkduqEuWrSIRYsWdchjt9vJzMzs0NC9T25ubrfXSk1NZefOnd2mtb/eiSeeyIYNG3oss6IoRy9/Vj0lAO271xS17uvsfCHEJiHE20KIrt+AnWzYsIE33ngDgNjYWIQQ5Ofnk5OT07Y5HA4Afvzxxw779237/PDDD72mb9iwod/pXq+XtLQ0vv/++7b07o5tf/yBpu/atavDnUh3x7b/su8u/Ycffug1/ccffwS0KqucnBz++te/smjRInw+Hzk5Ofz000+ANtYjJyeH/Px8hBBtW0pKCgBLlizpsH/ftq/a6/rrr+82fV+33Ysvvrjb9H3dgOfMmdNt+sUXXwzA1KlTu02//vrrARgzZky36UuWLAEgJSWl2/TOf3udt40bNwJadWR36fsEBgb2mm61WntNN5lMXdJ0uv3/nQ0GQ6/pOp2uS3r7Tg7dpZtMprb07spmtVp7TQ8MDOw1PSwsDNAGf3aXHhsbC2iDQLtLH46/vf+5bwE3PPTLg/63l50aTv6DZ3LqyOgD/tsbCH/eUXRXss7ded4HXpdSOoUQ1wDLgJldTiTE1cDVQ1/EofWLX/xiuIsw5ObMmdNhjIaiKEcf0V1XzCE5sRDTgXuklHNbX98OIKXstoO+0No0aqSUIb2dNzs7W7b/1Q2wfft2Ro8ePSTlVg6M+uyVo9mKx37E7fRy/q3ZB/W6G/JrOf/pb1i2aCqnZEX16xghxAYp5YAK6s+qp/VAphAiTQhhAi4CVrTPIIRo3yr7C2C7H8ujKIqiDIDfqp6klB4hxGLgI0APvCCl3CqEuA/IkVKuAK4TQvwC8AA1wGX+Ko+iKIoyMH4dmS2lXAWs6rTvrnbPbwdu92cZFEVRlMFRI7OHSPtpxvfNDDt27FgmTJjQ1lsBtMFsU6ZMYdy4cVx66aV4PJ5uz3frrbcyduxYRo8ezXXXXdfttB7defjhhxFCUFVVBWiTFU6YMIEJEyZw/PHHt/Va6kxKyR133EFWVhajR4/m8ccfB9Q044qiqEAxZNpPM26z2Xj55ZfZunUrH374ITfccAN1dXX4fD4uvfRSli9fzpYtW0hJSel2rYlvvvmGr7/+mk2bNrFlyxbWr1/fNmq6N4WFhaxZs4bk5OS2fWlpaaxdu5ZNmzZx5513cvXV3Xcee+mllygsLGTHjh1s376diy66CFDTjCuKcgROCsgHt0HZ5qE9Z+x4OP1vvWZpP814VlZW2/74+Hiio6OprKzE7XZjNpvb0mfPns0DDzzAFVdc0eFcQghaWlpwuVxIKXG73cTExPRZzBtvvJGHHnqIs88+u23f8ccf3/Z82rRpFBUVdXvs008/zWuvvdbW1z46OrrP6ymKcmjyen1UFzVSnmenfK+d8rzBLb1w5AWKYdDbNOPr1q3D5XKRnp6OEAK3201OTg7Z2dm8/fbb3U75PX36dGbMmEFcXBxSShYvXtxnF9QVK1aQkJDAxIkTe8zz/PPPt00/3tnu3bt54403ePfdd4mKiuLxxx9X8z0pymFASklDdYsWFFoDQ2VhA163tkCZNdhETGrX5QwOxJEXKPr45e8PPU0zXlpaym9+8xuWLVvW9kt9+fLl3HjjjTidTubMmdPtlN+5ubls37697df/7Nmz+eKLLzj55JO7vb7D4eD+++9n9erVPZbxs88+4/nnn+err77qNt3pdGKxWMjJyeGdd95h0aJFvU5DoijK8HA2e6jPszOtxUD+f/byYuUOmhvcAOiNOqKTgxh3SgIxqcHEpAUTFG7RRmb/buDXPPICxTDobppxu93O/Pnz+ctf/sK0adPa9k+fPr3tC3j16tXs2rWry/neffddpk2b1jblwemnn853333XY6DYvXs3eXl5bXcTRUVFTJkyhXXr1hEbG8umTZu48sor+eCDD4iIiOj2HImJiZx//vkAnHvuuVx++eUH+CkoijLUfF4f1cVNrdVH9ZTn2aktd4CEkzDiqnORNjaCmLRgYtJCCE8IQK8f+qZnFSiGQPtpxi0WCy6Xi3PPPZdLLrmECy64oEPeiooKoqOjcTqdPPjgg9xxxx1dzpecnMxzzz3H7bffjpSStWvXcsMNNwDaNOOLFy/usJTp+PHjqaioaHudmppKTk4OkZGRFBQUcN555/HKK690aDvp7JxzzuHTTz9l0aJFrF27tte8iqIMPSkljbXO1iqkeq0KKb8Bz74qpCAjManBZE2Nod6m49pVW3j2svH9Hpk9GCpQDJH204y/+eabfPHFF1RXV/PSSy8BWq+iSZMmsWTJElauXInP5+N//ud/mDlTm9qq/TTjCxYs4NNPP2X8+PEIIZg3bx5nnXUW0PM04z257777qK6u5tprrwW0yeL2TYFyxhlnsHTpUuLj47ntttv41a9+xaOPPkpgYKDq6aQofuZq9lCRv7+xuTzPjsPuAkBv0BGVHMjYkxJa7xaCCYqwtE3utyG/FudB7LPqt7me/OVQnevpxx9/5JFHHumw3sNQs9vtXHHFFbz11lt+u0Z3Pv/8cx5++GFWrlzZJe1Q+OwVZbj0d64nn9dHTWlThwbnmtKmtmlSQ6KtxKaFtAWFiIRA9IaeI8HBnutJ3VEMkcmTJzNjxgy8Xi96vd4v1wgODj7oQeKNN97g3nvv5Zhjjjmo11WUw1ljbcdeSBX5djwurQrJEmAkJi2YjGOiiU4NJiY1GEuAcZhL3DsVKIZQ54WGjgQLFy5k4cKFw10MRTlkeT2S4p217aqQ6mmq16qQdAZBZGIQo0+IJ7b1biE40jro9SEONhUoFEVRBkoIKgsa+M+j2oJfIVFW4rPC2qqQohKD0BsP/wkwVKBQFEUZoClzU4gdEUJ0ShAxacFYA019H3QYUoFCURRlgBJHhpE4Mmy4i+F3h/89kaIoiuJXKlAMkfbTjO9jt9tJSEhg8eLFgDbVxvz58xk1ahRjx47ltttu6/F8mzZtapuqfPz48V1Gfnd2zz33kJCQwKRJk5g0aRKrVmnLgOzduxer1dq2/5prrun1PJ2nKVfTjCuKoqqehkj7acb3ufPOOznllFM65Lv55puZMWMGLpeLWbNm8cEHH3SZqM/j8fDrX/+aV155hYkTJ1JdXY3R2Hf3uRtvvJGbb765y/709HQ2btzY5/HdTVO+cOFCYmJiePjhh/s8XlGUI9MRFygeXPcgO2p2DOk5R4WP4o9T/9hrnvbTjANs2LCB8vJy5s2b1zYS2mazMWPGDABMJhNTpkzpdtrv1atXM2HChLa5m3qan2modTdNuaIoh7/qRuegjvdr1ZMQYp4QYqcQIlcI0WM9ixBigRBCCiEGNGpwuHWeZtzn83HTTTexZMmSHo+pq6vj/fffZ9asWV3Sdu3ahRCCuXPnMmXKFB566KF+leOf//wnEyZMYNGiRdTW1rbtz8vLY/LkyZxyyik9zgjbn2nKFUU59FU2OPlsRwWPf/IzV72cw/QHPuGYv3w8qHP67Y5CCKEHngRmA0XAeiHECinltk75goDrgO+H4rp9/fL3h87TjD/11FOcccYZJCUldZvf4/Hwy/9v7+6jo6rvPI6/vwQIIE9imiMhppA0IiEJIQ88HMSIgiKcBYpRpHB4lgp07YKsUgXX6mlRcY1bK2KXVZAiVq0FjrALVFDjQwoxgEiwCIGmAZcGFoKAPKR+9487TMbJZGYKmZlk+L7OmXPuzP3de3/5ncl85z7M544dy/33309ycrLP+R9++CHbtm2jTZs23HrrreTk5PgsKhfNmDGDBQsWICIsWLCABx54gJdffpnOnTtTUVHBNddcw6effsqoUaPYvXs37dvX5tMHE1NujGl8jp1yisKuQ9XsOlTN54eq+aq69nxmctxV5HXtREaXDkx/6tK3E8pDT32AfapaDiAirwMjgTKvdk8ATwN1D643Ed4x45988glFRUUsXryYU6dOcf78edq2bcuTTzr3ypg+fTqpqanuRFhviYmJ5OfnExcXBzjhfaWlpX4Lhecd8O699173yefY2FhiY2MByMnJISUlhb1795KbW7vzFiim3BjTOMgYTN0AABGqSURBVM15YycAItAt7ir6dHOKQnqXDvRMaE+7VrXnNn3fBDk4oSwUXQDP27dVAn09G4hIb+A6VX1HRJpsofCOGV+5cqV73rJlyygpKXEXifnz51NdXe03nfX222/n6aef5syZM7Rs2ZL333+f2bNnA75jxsG5SdLFVNk//OEPpKenA1BVVUWnTp2IiYmhvLycL7/8ss5ejL+YcmNM49MzoT3Tb0omvl0sGV06kOZVFBpaKM9R+AozcUfVikgzoBB4IOCKRKaLSImIlFRVVTVgFxvOxZhxfyorK/nFL35BWVkZ2dnZZGVluQvG2rVrefTRRwGn8MyZM4e8vDyysrLIzs5m+PDhQP0x4w8++CAZGRlkZmayZcsWCgsLAfjggw/cJ8YLCgpYsmQJnTp1AmDatGl4J/EaYxq/Vi1ieHhYD6YNTKZv8jUhLRKAc7OMUDyA/sAGj+c/A37m8bwDcBQ46HqcBQ4Duf7Wm5OTo97KysrqvBZupaWlOn78+JBuo7q6WgsKCkK6DV+2bNmiw4cP9zmvMYy9MSYwoEQv8fM8lHsU24BUEekmIi2Be4C1HgWqWlXjVLWrqnYFioERqtokv+J6xoyHSqRixmfOnMnVV0d/TIExxreQnaNQ1RoR+QmwAYgBXlbV3SLyOE5lW+t/DU2PxYwbY6JRSH9wp6rrgfVerz1aT9ubQ9kXY4wxl8aynowxxvhlhcIYY4xfViiMMcb4ZYWigXjHjMfExLijvUeMGOFuN2nSJLp16+ae5y/V1TumPJDnn3+e7t2707NnTx588EEALly4wMSJE8nIyKBHjx4sXLjQ57Ljxo2je/fupKenM2XKFC5cuABYzLgxJgrTYyPFO2a8devW9RaBRYsWUVBQEHCdvmLK67NlyxbWrFnDZ599RmxsrPuX1m+++Sbnzp1j165dnDlzhrS0NMaOHesOMLxo3Lhx/Pa3vwXgRz/6EUuXLmXGjBkWM26Mib5C8b+//CXn9jRszHhsjxu49uGH/bbxjhm/XL5iyv158cUXmTdvnjvXKT4+HgAR4fTp09TU1PDNN9/QsmXL7wQCXjRs2DD3dJ8+fXzGnxtjrkx26KkBeMeMA5w9e5bc3Fz69evH6tWrv9P+kUceITMzk9mzZ3PuXN2c+GBiyr3t3buXoqIi+vbtS35+Ptu2bQOgoKCAq666is6dO5OUlMTcuXPdER6+XLhwgRUrVjB06NCgt22MiW5Rt0cR6Jt/KHjHjANUVFSQkJBAeXk5t9xyCxkZGaSkpLBw4UKuvfZazp8/z/Tp03nqqafcGU8XBYop96Wmpobjx49TXFzMtm3buPvuuykvL2fr1q3ExMRw+PBhjh8/zsCBAxk8eLDPeHOAmTNnctNNNzFw4MB/fCCMMVEp6gpFJHjHjAMkJCQAkJyczM0338z27dtJSUlxB/rFxsYyefJkn8f+A8WU+5KYmMjo0aMREfr06UOzZs04evQor732GkOHDqVFixbEx8czYMAASkpKfBaKn//851RVVfHSSy9dznAYY6KMHXpqAJ4x4wDHjx93H1I6evQoH330EWlpaYATBw5OGOPq1avdceCeVq5cSUVFBQcPHuSZZ55hwoQJ7iIxYcIEtm7dWmeZUaNGsXnzZsA5DHX+/Hni4uJISkpi8+bNqCqnT5+muLiYG264oc7yS5cuZcOGDaxatYpmzextYYypZZ8IDcQzZnzPnj3k5ubSq1cvBg0axLx589yFYty4cWRkZJCRkcHRo0eZP38+ACUlJUybNi3gduqLGZ8yZQrl5eWkp6dzzz33sHz5ckSEWbNmcerUKdLT08nLy2Py5MlkZmYCzgnsw4cPA3Dfffdx5MgR+vfvT1ZWFo8//niDjIsxpukTJ3226cjNzVXvq4D27NlDjx49ItQjx/bt23n22WdZsWJFyLZx8uRJpk6dGvYE2ffee49nnnmGd955p868xjD2xpjARORTVc0N3LIu26NoIBYzboyJVnYyuwFZzLgxJhrZHoUxxhi/rFAYY4zxywqFMcYYv6xQGGOM8csKRQPxjhmvqKjgtttuo0ePHqSlpXHw4EEA3n33XbKzs8nKyuLGG29k3759dda1adMmcnJyyMjIICcnx/1DOn927NhBv379yMrKIjc31/2jvC+++IL+/fsTGxvrNwH2wIED9O3bl9TUVMaMGcP58+cBKCwsJCkpKeioc2NMFFLVkD2AocCfgX3APB/z7wN2ATuAD4G0QOvMyclRb2VlZXVeC7df//rX+txzz7mf5+fn68aNG1VV9euvv9bTp0+rqmpqaqq7vy+88IJOnDixzrpKS0v10KFDqqq6a9cuTUhICLj9IUOG6Pr161VVdd26dZqfn6+qqkeOHNGtW7fqww8/rIsWLap3+bvuuktXrVqlqqo//vGPdfHixe55r7zyis6aNcvnco1h7I0xgQEleomf5SG7PFZEYoAXgCFAJbBNRNaqaplHs9dUdYmr/QjgWVdxuWRFb+zl6F9PXc4q6oi7ri0D777ebxvPmPGysjJqamoYMmQIAG3btnW3ExFOnjwJQHV1tTsTylPv3r3d0z179uTs2bOcO3fOHSHuS33rjY+PJz4+nnXr1tW7rKqyefNmd/8nTpzIY489xowZM/z+zcaYK0Mof0fRB9inquUAIvI6MBJwFwpVPenR/iqgaf1M3MU7Znzv3r107NiR0aNHc+DAAQYPHsyTTz5JTEwMS5cuZdiwYbRu3Zr27dtTXFzsd92///3v6d27t98iAfDcc89x++23M3fuXL799ls+/vjjoPt/7NgxOnbsSPPmztshMTGRQ4cOBb28MSa6hbJQdAH+6vG8Eujr3UhEZgFzgJbALb5WJCLTgekASUlJfjca6Jt/KHjHjNfU1FBUVMT27dtJSkpizJgxLFu2jKlTp1JYWMj69evp27cvixYtYs6cOSxdutTnenfv3s1DDz3Exo0bA/bhxRdfpLCwkDvvvJM33niDqVOn8sc//jGo/quPGBcRCWpZY0z0C+XJbF+fNHU+kVT1BVVNAR4C5vtakar+RlVzVTX3e9/7XgN38/J5x4wnJibSu3dvkpOTad68OaNGjaK0tJSqqip27txJ375OvRwzZky93/wrKyv54Q9/yKuvvkpKSkrAPixfvpzRo0cDcNddd/lMmK1PXFwcJ06coKamxr1tX4fEjDFXplAWikrA8847icBhP+1fB0aFsD8h4x0znpeXx/Hjx6mqqgJg8+bNpKWlcfXVV1NdXc3evXsB5+omX4F6J06cYPjw4SxcuJABAwZ8Z159MeMJCQm8//777u2lpqYG3X8RYdCgQbz11luAU3RGjhwZ9PLGmCh3qWfBAz1wDmuVA91wDivtBHp6tUn1mP4ngjgr31ivepoyZYpu2rTJ/Xzjxo2akZGh6enpOnHiRD137pyqqr799tuanp6umZmZmp+fr/v371dV1TVr1uiCBQtUVfWJJ57QNm3aaK9evdyPI0eOqKpqr169tKKios72i4qKNDs7WzMzM7VPnz5aUlKiqqpfffWVdunSRdu1a6cdOnTQLl26aHV1taqq3nHHHe6rq/bv3695eXmakpKiBQUFevbsWfe67aonY5q+YD5f63uE+vLYYcBeYD/wiOu1x4ERrun/AHbjXB67xbuQ+Ho01kJRWlqq48ePD+k2qqurtaCgIKTb8MUKhTFN3+UUipCmx6rqemC912uPekz/NJTbDyfPmPGYmJiQbCMSMeOFhYUsWbKEO++8M6zbNcY0HnbjInNZbOyNaRrsxkX4vsTThJaNuTFXhqgoFK1ateLYsWP2wRVGqsqxY8do1apVpLtijAmxqLjDXWJiIpWVle7LUU14tGrVisTExEh3wxgTYlFRKFq0aEG3bt0i3Q1jjIlKUXHoyRhjTOhYoTDGGOOXFQpjjDF+NbnfUYjI1zg3QzIQBxyNdCcaCRuLWjYWtWwsanVX1XaXsmBTPJn950v90Ui0EZESGwuHjUUtG4taNha1RKQkcCvf7NCTMcYYv6xQGGOM8aspForfRLoDjYiNRS0bi1o2FrVsLGpd8lg0uZPZxhhjwqsp7lEYY4wJo0ZbKERkqIj8WUT2icg8H/NjReR3rvl/EpGu4e9leAQxFnNEpExEPhORd0Xk+5HoZzgEGguPdgUioiIStVe8BDMWInK3672xW0ReC3cfwyWI/5EkEdkiIttd/yfDItHPUBORl0XkbyLyeT3zRUR+5Rqnz0QkO6gVX+odj0L5AGJw7oqXTO1tVNO82swElrim7wF+F+l+R3AsBgFtXNMzruSxcLVrB3wAFAO5ke53BN8XqcB24GrX8/hI9zuCY/EbYIZrOg04GOl+h2gsbgKygc/rmT8M+G9AgH7An4JZb2Pdo+gD7FPVclU9D7wOjPRqMxJY7pp+C7hVRCSMfQyXgGOhqltU9YzraTEQrZGuwbwvAJ4AngbOhrNzYRbMWNwLvKCqxwFU9W9h7mO4BDMWCrR3TXcADoexf2Gjqh8A/+enyUjgVXUUAx1FpHOg9TbWQtEF+KvH80rXaz7bqGoNUA1cE5behVcwY+FpKs43hmgUcCxEpDdwnaq+E86ORUAw74vrgetF5CMRKRaRoWHrXXgFMxaPAeNFpBLn9sz/HJ6uNTr/6OcJ0Hh/me1rz8D78qxg2kSDoP9OERkP5AL5Ie1R5PgdCxFpBhQCk8LVoQgK5n3RHOfw0804e5lFIpKuqidC3LdwC2YsxgLLVPXfRaQ/sMI1Ft+GvnuNyiV9bjbWPYpK4DqP54nU3VV0txGR5ji7k/52uZqqYMYCERkMPAKMUNVzYepbuAUai3ZAOvCeiBzEOQa7NkpPaAf7P7JGVS+o6gGcjLTUMPUvnIIZi6nAGwCq+gnQCicH6koT1OeJt8ZaKLYBqSLSTURa4pysXuvVZi0w0TVdAGxW19maKBNwLFyHW17CKRLRehwaAoyFqlarapyqdlXVrjjna0ao6iVn3DRiwfyPrMa50AERicM5FFUe1l6GRzBjUQHcCiAiPXAKxZV4S8y1wATX1U/9gGpV/SrQQo3y0JOq1ojIT4ANOFc0vKyqu0XkcaBEVdcC/4Wz+7gPZ0/insj1OHSCHItFQFvgTdf5/ApVHRGxTodIkGNxRQhyLDYAt4lIGfB34F9V9Vjkeh0aQY7FA8B/ishsnEMtk6Lxi6WIrMI51BjnOh/zb0ALAFVdgnN+ZhiwDzgDTA5qvVE4VsYYYxpQYz30ZIwxppGwQmGMMcYvKxTGGGP8skJhjDHGLysUxhhj/LJCYa5IIvJ3EdkhIp+LyJsi0qYB1pkrIr/yMz9BRN663O0YE252eay5IonIKVVt65peCXyqqs96zBec/48rLeLBmDpsj8IYKAJ+ICJdRWSPiCwGSoHrROQ2EflEREpdex4Xi0ueiHwsIjtFZKuItBORm0XkHdf8fNceyw7XPRDaudb/uWt+KxF5RUR2ueZf/AX1JBF5W0T+R0S+FJGnIzQmxrhZoTBXNFdO2B3ALtdL3XFimHsDp4H5wGBVzQZKgDmumIjfAT9V1V7AYOAbr1XPBWapahYw0Mf8WQCqmoETWLdcRFq55mUBY4AMYIyIXIcxEWSFwlypWovIDpwP/wqcSBiAv7hy+sEJFUwDPnK1nQh8H6eYfKWq2wBU9aQr6t7TR8CzInI/0NHH/BuBFa7lvwD+gpPFBPCuK7fqLFDm2qYxEdMos56MCYNvXN/23Vw5Wac9XwI2qepYr3aZBIhmVtUnRWQdTq5OsSvd1/NGSv5usuWZ/vt37P/URJjtURhTv2JggIj8AEBE2ojI9cAXQIKI5Lleb+c6hOUmIimquktVn8LZa7nBa90fAONcba8HknBiwI1pdKxQGFMPVa3CuQnSKhH5DKdw3OC63eYY4HkR2Qlswomt9vQvrktvd+Kcn/C+6+BiIEZEduGc75gUxfcRMU2cXR5rjDHGL9ujMMYY45cVCmOMMX5ZoTDGGOOXFQpjjDF+WaEwxhjjlxUKY4wxflmhMMYY45cVCmOMMX79P7Lq+sXLyjDqAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1156,24 +1116,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/alejandro/anaconda3/envs/xai/lib/python3.7/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
+      "/home/alejandro/miniconda3/lib/python3.7/site-packages/pandas/core/indexing.py:671: SettingWithCopyWarning: \n",
       "A value is trying to be set on a copy of a slice from a DataFrame\n",
       "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
       "  self._setitem_with_indexer(indexer, value)\n",
       "WARNING:root:No categorical_cols passed so inferred using np.object, np.int8 and np.bool: Index(['target', 'manual-review'], dtype='object'). If you see an error these are not correct, please provide them as a string array as: categorical_cols=['col1', 'col2', ...]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
        "<Figure size 1080x360 with 1 Axes>"
       ]
@@ -1192,22 +1152,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6958641828>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1effc41fd0>"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 44,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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9qn5r6Fp645r+BGvrpn7RtPY57dh8KMmhQ9fSG8/0J9/1bT3/Uzx63fSy4UqSAPgh8M0kV/LoY/NNw5U0+Qz9yfc44E7gRXP6CjD0NbTL8DgcO6/TlzSYdjnxM1rzpqr66ZD19MA1/QmXZEmSzyS5oz0+nWTJ0HVJSV4I3MzMJ2t+EPh2khcMWlQHPNOfcG299B+Bj7Su1wOvq6qXDFeVBEmuA36vqm5q7WcAH6uqZw9b2WTzTH/yTVXVh6rqwfb4MDA1dFEScMBs4ANU1beBAwaspwuG/uS7M8nrk+zfHq9n5o1daWgbklyY5IXt8Q/AhqGLmnQu70y4JEcD72fmG4oK+E/gjVW1edDC1L0kBzHzJT/Pb13/Dnywqn48XFWTz9CfcEnWAm9p30pEksOBd1fVHw5bmXqX5PHAA+1Grdm7dA+qqvuHrWyyubwz+X5tNvABquou4PgB65FmrQcOntM+GPj8QLV0w9CffPslWTjbaGf63pSnfcHjquqHs422fciA9XTBf/yT7z3Al5N8qrVfBbxzwHqkWT9KckJVfQ0gybOB/xu4ponnmn4HkhzHIx/DcFVV3ThkPRJAkt8APg78LzNfl/gU4Her6rpBC5twhr6kwSQ5AHhma/oxDGNg6EsaTJLnAUuZs9RcVZcMVlAHXNOXNIgkHwF+Bbge+FnrLsDQ34s805c0iCQbgePKEBorL9mUNJRvMfPmrcbI5R1JQ1kE3JjkK8DDH71QVa8YrqTJZ+hLGsrbhy6gR67pS1JHPNOXNFZJrq6q5ye5j5mrdR4eAqqqnjRQaV3wTF+SOuLVO5LUEUNfkjpi6EtSRwx9SeqIoS9JHfl/1eH/U6BnuNIAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1224,24 +1184,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/alejandro/anaconda3/envs/xai/lib/python3.7/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
-      "  self._setitem_with_indexer(indexer, value)\n",
       "WARNING:root:No categorical_cols passed so inferred using np.object, np.int8 and np.bool: Index(['target', 'manual-review'], dtype='object'). If you see an error these are not correct, please provide them as a string array as: categorical_cols=['col1', 'col2', ...]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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ISJIkSZK+HgxwkiRJkpQRG7UKpSRJkqSvn/Yj21fr+V4e8PIG9xk+fDg33XRTpc9RAxg/fjzDhg2reJB3sR155JGMGjUKgFGjRnHOOecAsGDBAs4//3zGjBlTzPKqzBE4SZIkSRvtxhtv5NFHH600vH0dPfroozRt2pQlS5Zw4403VrTvsssumQlvYICTJEmStJHOOuss3njjDfr06cNVV13FfvvtR8eOHdlvv/149dVX19v/6aefpqSkhJKSEjp27MhHH30EwDXXXENpaSkdOnTgsssuq/RagwcP5uSTT+aggw6idevWFc94Sylx0UUX0a5dO9q3b09ZWRkACxcupEePHpSUlNCuXTueeeYZAFq2bMn777/PoEGDmDt3LiUlJVx00UXMmzePdu3aAbDPPvswc+bMimv37NmTqVOn8vHHH3PqqadSWlpKx44defDB3BPUZs6cSdeuXSkpKaFDhw7MmTOnmnr4yzmFUpIkSdJGGTFiBP/4xz946qmn2GKLLfj5z39O/fr1eeKJJ7j44ou57777vrD/sGHDuOGGG+jevTvLli1jyy23ZNy4ccyZM4fJkyeTUqJPnz5MmDCBHj16rHe96dOnM2nSJD7++GM6duzIUUcdxcSJEykvL+ell17i/fffp7S0lB49ejBq1Ch69+7Nb37zG1atWsUnn3zyhXMNHTqUGTNmUF5eDsC8efMqtvXv35/Ro0czZMgQFi5cyIIFC+jcuTMXX3wxBx10EHfccQdLliyha9euHHLIIYwYMYKf/vSnnHjiiXz++eesWrWq+jt7HQY4SZIkSZts6dKlDBgwgDlz5hARrFixYr19unfvzs9+9jNOPPFEfvjDH9KiRQvGjRvHuHHj6Ngx98SyZcuWMWfOnEoD3NFHH02jRo1o1KgRvXr1YvLkyTz77LOccMIJ1KtXj5122okDDzyQF154gdLSUk499VRWrFjBMcccQ0lJSZV/luOPP55DDz2UIUOGMHr0aPr2zT0dbdy4cYwdO5Zhw4YBsHz5ct5++2323XdfrrzySubPn88Pf/hDWrduvSlduFGcQilJkiRpk11yySX06tWLGTNm8NBDD7F8+fL19hk0aBC33XYbn376Kd26dWP27NmklPj1r39NeXk55eXlvP7665x22mnccMMNFdMtFyxYAEBEfOF8EUFKqdJ6evTowYQJE2jevDknn3wyd911V5V/lubNm7PDDjswffp0ysrK6N+/P5CbrnnfffdV1Pr222/Tpk0bfvSjHzF27FgaNWpE7969+ec//1nla20qA5wkSZKkTbZ06VKaN28OwJ133lnpPnPnzqV9+/b86le/okuXLsyePZvevXtzxx13sGzZMgD+/e9/895773HuuedWBKVddtkFgAcffJDly5ezePFixo8fXzFdsqysjFWrVrFo0SImTJhA165deeutt9hxxx0544wzOO2005g2bdoXamnSpEnFPXiV6d+/P1dffTVLly6lffvc6p69e/fm+uuvrwiNL774IgBvvPEGu+22G+effz59+vRh+vTpm96RVeQUSkmSJCnjqrLsf0355S9/yYABA7j22ms56KCDKt3nuuuu46mnnqJevXq0bduWI444goYNGzJr1iz23XdfABo3bszdd9/NjjvuuN7xXbt25aijjuLtt9/mkksuYZddduHYY49l4sSJ7L333kQEV199Nd/61rcYOXIk11xzDQ0aNKBx48brjcDtsMMOdO/enXbt2nHEEUdw7rnnfmH7cccdx09/+lMuueSSirZLLrmECy64gA4dOpBSomXLljz88MOUlZVx991306BBA771rW9x6aWXbm53blB82dBjIXXp0iVNmTKlZk4+eNuaOW8hDF5a7AokSZI2qN/NEwEoO3PfIldSd8yaNYs2bdoUu4yCGDx4MI0bN+YXv/hFsUupNpX9+UXE1JRSlw0d6xRKSZIkScoIp1BKkiRJ+toaPHhwsUv4WnEETpIkSZIywgAnSZIkSRlhgJMkSZKkjDDASZIkSVJGuIiJJEmSlHGz9qzeRwq0mT1rg/sMHz6cm266iU6dOnHPPfest338+PEMGzaMhx9+uFprqwnjx49niy22YL/99gNgxIgRbLXVVpxyyilFrmx9BjhJkiRJG+3GG2/k73//O61atSp2KZtt/PjxNG7cuCLAnXXWWUWu6Ms5hVKSJEnSRjnrrLN444036NOnD1dddRX77bcfHTt2ZL/99uPVV19db/+nn36akpISSkpK6NixIx999BEA11xzDaWlpXTo0IHLLrus0msNHjyYU089lZ49e7LbbrsxfPjwim133303Xbt2paSkhDPPPJNVq1YBcPvtt7PHHnvQs2dPzjjjDM477zwAHnroIfbZZx86duzIIYccwrvvvsu8efMYMWIEf/jDHygpKeGZZ55h8ODBDBs2jFmzZtG1a9eK682bN48OHToAMHXqVA488EA6d+5M7969WbhwIZAbmWzbti0dOnSgf//+1dDbX2SAkyRJkrRRRowYwS677MJTTz3F2WefzYQJE3jxxRe5/PLLufjii9fbf9iwYdxwww2Ul5fzzDPP0KhRI8aNG8ecOXOYPHky5eXlTJ06lQkTJlR6vdmzZ/PYY48xefJkhgwZwooVK5g1axZlZWU899xzlJeXU69ePe655x4WLFjAb3/7WyZNmsTjjz/O7NmzK86z//77M2nSJF588UX69+/P1VdfTcuWLTnrrLO48MILKS8v54ADDqjYv02bNnz++ee88cYbAJSVlXH88cezYsUKfvKTnzBmzBimTp3Kqaeeym9+8xsAhg4dyosvvsj06dMZMWJEdXY74BRKSZIkSZth6dKlDBgwgDlz5hARrFixYr19unfvzs9+9jNOPPFEfvjDH9KiRQvGjRvHuHHj6NixIwDLli1jzpw59OjRY73jjzrqKBo2bEjDhg3Zcccdeffdd3nyySeZOnUqpaWlAHz66afsuOOOTJ48mQMPPJDtt98egL59+/Laa68BMH/+fPr168fChQv5/PPPqzT98/jjj2f06NEMGjSIsrIyysrKePXVV5kxYwaHHnooAKtWrWLnnXcGoEOHDpx44okcc8wxHHPMMZvQo1/NEThJkiRJm+ySSy6hV69ezJgxg4ceeojly5evt8+gQYO47bbb+PTTT+nWrRuzZ88mpcSvf/1rysvLKS8v5/XXX+e0007jhhtuqJhuuWDBAgAaNmxYca569eqxcuVKUkoMGDCg4vhXX32VwYMHk1L60lp/8pOfcN555/Hyyy9z8803V1rruvr168fo0aN57bXXiAhat25NSom99tqr4tovv/wy48aNA+CRRx7h3HPPZerUqXTu3JmVK1dubJd+JQOcJEmSpE22dOlSmjdvDsCdd95Z6T5z586lffv2/OpXv6JLly7Mnj2b3r17c8cdd7Bs2TIA/v3vf/Pee+9x7rnnVgSjXXbZ5Uuve/DBBzNmzBjee+89AP7zn//w1ltv0bVrV55++mk++OADVq5cyX333VdprSNHjqxob9KkScV9eevafffdqVevHr/97W/p168fAN/73vdYtGgREydOBGDFihXMnDmT1atX884779CrVy+uvvpqlixZUvHzVRenUEqSJEkZV5Vl/2vKL3/5SwYMGMC1117LQQcdVOk+1113HU899RT16tWjbdu2HHHEETRs2JBZs2ax7777AtC4cWPuvvtudtxxxypdt23btlxxxRUcdthhrF69mgYNGnDDDTfQrVs3Lr74YvbZZx922WUX2rZty7bbbgvkFkTp27cvzZs3p1u3brz55psA/OAHP+C4447jwQcf5Prrr1/vWv369eOiiy6q2H+LLbZgzJgxnH/++SxdupSVK1dywQUXsMcee3DSSSexdOlSUkpceOGFNG3adKP79KvEVw0xFkqXLl3SlClTaubkg7etmfMWwuClxa5AkiRpg/rdnBuFKDtz3yJXUnfMmjWLNm2q99lvtcmyZcto3LgxK1eu5Nhjj+XUU0/l2GOPLXZZFSr784uIqSmlLhs61imUkiRJkmqVwYMHU1JSQrt27WjVqlWNLCZSLE6hlCRJklSrDBs2rNgl1BhH4CRJkqQM+jrcCqWNt7l/bgY4SZIkKWO23HJLFi9ebIjLmJQSixcvZsstt9zkcziFUpIkScqYFi1aMH/+fBYtWlTsUrSRttxyS1q0aLHJx28wwEXErsBdwLeA1cAtKaX/FxGDgTOANX9rLk4pPZo/5tfAacAq4PyU0mObXKEkSZKkL2jQoAGtWrUqdhkqgqqMwK0Efp5SmhYRTYCpEfF4ftsfUkpfuEMwItoC/YG9gF2AJyJij5TSquosXJIkSZLqmg3eA5dSWphSmpZ//REwC2j+FYccDdybUvospfQm8DrQtTqKlSRJkqS6bKMWMYmIlkBH4F/5pvMiYnpE3BER2+XbmgPvrHXYfCoJfBExMCKmRMQU5+5KkiRJ0oZVOcBFRGPgPuCClNKHwE3A7kAJsBD4/ZpdKzl8veVxUkq3pJS6pJS6NGvWbKMLlyRJkqS6pkoBLiIakAtv96SU/gaQUno3pbQqpbQauJX/TpOcD+y61uEtgAXVV7IkSZIk1U0bDHAREcDtwKyU0rVrte+81m7HAjPyr8cC/SOiYUS0AloDk6uvZEmSJEmqm6qyCmV34GTg5Ygoz7ddDJwQESXkpkfOA84ESCnNjIjRwCvkVrA81xUoJUmSJGnzbTDApZSepfL72h79imOuBK7cjLokSZIkSevYqFUoJUmSJEnFY4CTJEmSpIyoyj1wkiRJklQt2o9sX+wSNtnLA14udgmOwEmSJElSVjgCJ0mSJKlgPpo1tNglZJojcJIkSZKUEQY4SZIkScoIA5wkSZIkZYQBTpIkSZIywgAnSZIkSRlhgJMkSZKkjDDASZIkSVJGGOAkSZIkKSMMcJIkSZKUEQY4SZIkScoIA5wkSZIkZYQBTpIkSZIywgAnSZIkSRlhgJMkSZKkjDDASZIkSVJGGOAkSZIkKSMMcJIkSZKUEQY4SZIkScoIA5wkSZIkZYQBTpIkSZIywgAnSZIkSRlhgJMkSZKkjDDASZIkSVJGGOAkSZIkKSMMcJIkSZKUEQY4SZIkScqIDQa4iNg1Ip6KiFkRMTMifppv3z4iHo+IOfnv2+XbIyKGR8TrETE9IjrV9A8hSZIkSXVBVUbgVgI/Tym1AboB50ZEW2AQ8GRKqTXwZP49wBFA6/zXQOCmaq9akiRJkuqgDQa4lNLClNK0/OuPgFlAc+BoYGR+t5HAMfnXRwN3pZxJQNOI2LnaK5ckSZKkOmaj7oGLiJZAR+BfwE4ppYWQC3nAjvndmgPvrHXY/HzbuucaGBFTImLKokWLNr5ySZIkSapjqhzgIqIxcB9wQUrpw6/atZK2tF5DSreklLqklLo0a9asqmVIkiRJUp1VpQAXEQ3Ihbd7Ukp/yze/u2ZqZP77e/n2+cCuax3eAlhQPeVKkiRJUt1VlVUoA7gdmJVSunatTWOBAfnXA4AH12o/Jb8aZTdg6ZqplpIkSZKkTVe/Cvt0B04GXo6I8nzbxcBQYHREnAa8DfTNb3sUOBJ4HfgE+J9qrViSJEmS6qgNBriU0rNUfl8bwMGV7J+AczezLkmSJEnSOjZqFUpJkiRJUvEY4CRJkiQpIwxwkiRJkpQRBjhJkiRJyggDnCRJkiRlhAFOkiRJkjLCACdJkiRJGWGAkyRJkqSMMMBJkiRJUkYY4CRJkiQpIwxwkiRJkpQRBjhJkiRJyggDnCRJkiRlhAFOkiRJkjLCACdJkiRJGWGAkyRJkqSMMMBJkiRJUkYY4CRJkiQpIwxwkiRJkpQRBjhJkiRJyggDnCRJkiRlhAFOkiRJkjLCACdJkiRJGWGAkyRJkqSMMMBJkiRJUkYY4CRJkiQpIwxwkiRJkpQRBjhJkiRJyggDnCRJkiRlhAFOkiRJkjLCACdJkiRJGbHBABcRd0TEexExY622wRHx74goz38duda2X0fE6xHxakT0rqnCJUmSJKmuqcoI3J3A4ZW0/yGlVJL/ehQgItoC/YG98sfcGBH1qqtYSZIkSarLNhjgUkoTgP9U8XxHA/emlD5LKb0JvA6CheOAAAAWL0lEQVR03Yz6JEmSJEl5m3MP3HkRMT0/xXK7fFtz4J219pmfb1tPRAyMiCkRMWXRokWbUYYkSZIk1Q2bGuBuAnYHSoCFwO/z7VHJvqmyE6SUbkkpdUkpdWnWrNkmliFJkiRJdccmBbiU0rsppVUppdXArfx3muR8YNe1dm0BLNi8EiVJkiRJsIkBLiJ2XuvtscCaFSrHAv0jomFEtAJaA5M3r0RJkiRJEkD9De0QEX8BegLfjIj5wGVAz4goITc9ch5wJkBKaWZEjAZeAVYC56aUVtVM6ZIkSZJUt2wwwKWUTqik+fav2P9K4MrNKUqSJEmStL7NWYVSkiRJklRABjhJkiRJyggDnCRJkiRlhAFOkiRJkjLCACdJkiRJGWGAkyRJkqSMMMBJkiRJUkYY4CRJkiQpIwxwkiRJkpQRBjhJkiRJyoj6xS5AkiRJKpb2I9sXu4RN9vKAl4tdgorAEThJkiRJyggDnCRJkiRlhAFOkiRJkjLCACdJkiRJGWGAkyRJkqSMMMBJkiRJUkYY4CRJkiQpIwxwkiRJkpQRBjhJkiRJyggDnCRJkiRlhAFOkiRJkjLCACdJkiRJGWGAkyRJkqSMMMBJkiRJUkYY4CRJkiQpIwxwkiRJkpQR9YtdgCRJknJm7dmm2CVskk/2P5utSkuLXYZUJzgCJ0mSJEkZYYCTJEmSpIxwCqUkSZLqrI9mDS12CdJG2eAIXETcERHvRcSMtdq2j4jHI2JO/vt2+faIiOER8XpETI+ITjVZvCRJkiTVJVWZQnkncPg6bYOAJ1NKrYEn8+8BjgBa578GAjdVT5mSJEmSpA0GuJTSBOA/6zQfDYzMvx4JHLNW+10pZxLQNCJ2rq5iJUmSJKku29RFTHZKKS0EyH/fMd/eHHhnrf3m59vWExEDI2JKRExZtGjRJpYhSZIkSXVHda9CGZW0pcp2TCndklLqklLq0qxZs2ouQ5IkSZJqn00NcO+umRqZ//5evn0+sOta+7UAFmx6eZIkSZKkNTY1wI0FBuRfDwAeXKv9lPxqlN2ApWumWkqSJEmSNs8GnwMXEX8BegLfjIj5wGXAUGB0RJwGvA30ze/+KHAk8DrwCfA/NVCzJEmSJNVJGwxwKaUTvmTTwZXsm4BzN7coSZIkSdL6qnsRE0mSJElSDTHASZIkSVJGGOAkSZIkKSM2eA+ctLFm7dmm2CVssjazZxW7BEmSJOlLOQInSZIkSRnhCJwkSaqUMyok6evHEThJkiRJyggDnCRJkiRlhAFOkiRJkjLCACdJkiRJGWGAkyRJkqSMcBVKSdoErs4nSZKKwRE4SZIkScoIA5wkSZIkZYQBTpIkSZIywgAnSZIkSRnhIiaqdm36Lyh2CXWOC2pIkiTVDY7ASZIkSVJGGOAkSZIkKSMMcJIkSZKUEQY4SZIkScoIFzGRJGWCi/VIkuQInCRJkiRlhgFOkiRJkjLCACdJkiRJGWGAkyRJkqSMMMBJkiRJUkYY4CRJkiQpIwxwkiRJkpQRPgdOqgXa9F9Q7BIkSZJUAI7ASZIkSVJGbNYIXETMAz4CVgErU0pdImJ7oAxoCcwDjk8pfbB5ZUqSJEmSqmMErldKqSSl1CX/fhDwZEqpNfBk/r0kSZIkaTPVxBTKo4GR+dcjgWNq4BqSJEmSVOdsboBLwLiImBoRA/NtO6WUFgLkv+9Y2YERMTAipkTElEWLFm1mGZIkSZJU+23uKpTdU0oLImJH4PGImF3VA1NKtwC3AHTp0iVtZh2SJEmSVOtt1ghcSmlB/vt7wP1AV+DdiNgZIP/9vc0tUpIkSZK0GQEuIraOiCZrXgOHATOAscCA/G4DgAc3t0hJkiRJ0uZNodwJuD8i1pxnVErpHxHxAjA6Ik4D3gb6bn6ZkiRJkqRNDnAppTeAvStpXwwcvDlFSZIkSZLWVxOPEZAkSZIk1QADnCRJkiRlxOY+RkCSJEnV5PhfZ/OfZp+8FXQpdhFSHZHN3xKSVGRt+i8odgmSJKkOcgqlJEmSJGWEI3CSJElfEy+/+XaxS9gk/T5bXuwSpDrDEThJkiRJyggDnCRJkiRlhAFOkiRJkjLCe+AkSZngyp+FZ59L0tePI3CSJEmSlBEGOEmSJEnKCAOcJEmSJGWEAU6SJEmSMsIAJ0mSJEkZYYCTJEmSpIwwwEmSJElSRhjgJEmSJCkjDHCSJEmSlBEGOEmSJEnKCAOcJEmSJGVE/WIXIEmSpJyWy0cVu4RNtk+xC5DqCEfgJEmSJCkjDHCSJEmSlBEGOEmSJEnKCAOcJEmSJGWEAU6SJEmSMsIAJ0mSJEkZYYCTJEmSpIwwwEmSJElSRtRYgIuIwyPi1Yh4PSIG1dR1JEmSJKmuqJEAFxH1gBuAI4C2wAkR0bYmriVJkiRJdUVNjcB1BV5PKb2RUvocuBc4uoauJUmSJEl1Qk0FuObAO2u9n59vkyRJkiRtokgpVf9JI/oCvVNKp+ffnwx0TSn9ZK19BgID82+/B7xa7YUUxjeB94tdRB1jnxeefV549nnh2eeFZ58Xnn1eePZ54WW1z7+TUmq2oZ3q19DF5wO7rvW+BbBg7R1SSrcAt9TQ9QsmIqaklLoUu466xD4vPPu88OzzwrPPC88+Lzz7vPDs88Kr7X1eU1MoXwBaR0SriNgC6A+MraFrSZIkSVKdUCMjcCmllRFxHvAYUA+4I6U0syauJUmSJEl1RU1NoSSl9CjwaE2d/2sk89NAM8g+Lzz7vPDs88KzzwvPPi88+7zw7PPCq9V9XiOLmEiSJEmSql9N3QMnSZIkSapmBjhJkiRJyggDnCRJkiRlhAFOkiRJkjLCAFcNIqJWr3RTLBFRLyLOjIjfRkT3dbb932LVVdtFRNeIKM2/bhsRP4uII4tdV10SEXcVu4baLCLOi4hv5l9/NyImRMSSiPhXRLQvdn21UUT8LSJOiojGxa6lroiI3SLijoi4IiIaR8StETEjIv4aES2LXV9tFRG7R8QvIuL/RcTvI+KsiNi22HXVBRGxU0R0ioiOEbFTseupSa5CWUURsf2XbQJeSim1KGQ9dUFE3AZsBUwGTgaeTin9LL9tWkqpUzHrq40i4jLgCHKPGHkc2AcYDxwCPJZSurJ41dVOETF23SagF/BPgJRSn4IXVctFxMyU0l75148At6WU7o+InsCVKaXuX3kCbbSI+DcwETgIeAL4C/BISunzohZWi0XEBHL9vC1wEvAnYDRwGHBiSumgIpZXK0XE+cAPgKeBI4Fy4APgWOCclNL44lVXe0VECTCC3N/1f+ebWwBLyPX7tGLVVlMMcFUUEauAt8j942qNlH/fPKW0RVEKq8UiYnpKqUP+dX3gRuCbwAnApJRSx2LWVxtFxMtACdAQ+F+gRUrpw4hoBPxrzZ+Hqk9ETANeAW7jv79T/gL0B0gpPV286mqniHg1pfS9/OsXUkqla22b7t/z6hcRL6aUOkZEE+AYcr/HS4GHgb+klMYVtcBaaE2f51+/nVL6dmXbVH3W/D80pbQqIrYCHk0p9YyIbwMP2uc1IyLKgTNTSv9ap70bcHNKae/iVFZznEJZdW8APVNKrdb62i2l1Ap4t9jF1VIVoTiltDKlNJDcp1n/BJyGUzNWppRWpZQ+AeamlD4ESCl9Cqwubmm1VhdgKvAbYGn+E9pPU0pPG95qzJiIuDMidgPuj4gLIuLbEfE/wNvFLq6WSgAppY9SSn9OKR0JfA/4FzCoqJXVXqsjYo/8lPitIqIL5KYNA/WKW1qtVj//vSHQBCCl9DbQoGgV1X5brxveAFJKk4Cti1BPjau/4V2Udx2wHZX/z/3qAtdSV0yJiMNTSv9Y05BSujwiFgA3FbGu2uzziNgqH+A6r2nMz983wNWAlNJq4A8R8df893fxd3ONSin9JiJ+TG6kc3dy/9AaCDwAnFjE0mqzZes2pJT+Q27a04jCl1Mn/BJ4iNzv7mOAX0fE3sA2wBnFLKwWuw14ISImAT2AqwAiohnwn2IWVsv9PT8d/i7gnXzbrsApwD++9KgMcwqlpAoR0TCl9Fkl7d8Edk4pvVyEsuqUiDgK6J5SurjYtUiqXfK/yz9IKa0qdi21VUTsBbQBZqSUZhe7nroiIo4Ajgaak7sVYT4wNqX0aFELqyEGuGoQEYemlB4vdh21UURsAzRLKc1dp71DSml6kcqq1SLiG5AbGYqILYB2wLz8p+UqgIg4J6V0Y7HrqCsiohXQEXjFf3DVjPw9QO+llJZHRAA/BjqRu//z1pTSymLWVxtFRB9yi0+t96Gcak7+7/qHKaUl+dU+uwCzU0ozilqYahXvgasetxe7gNooIo4HZgP3RcTMNUvb591ZnKpqt4g4BlgI/DsijgaeAYYB0yPiB0UtrpbKP6bhC1/A5Wu9VjWLiAfWen00uftqfwCMzU+tVPV7lP/+m2MocBS5+99KAR/FUzPKyP0u/3NEHBkR3vdWwyJiELkVKCdFxOnkpu8dAZT5+7w4ImJgsWuoCd5nUUWVLPVdsQnYoZC11CEXA51TSgsjoivw54i4OKX0N764Gqiqz2XA3kAj4CWgNKX0akR8B7iP3P0Uql5DyP3jdib//Xtdj/zN76oR31nr9a+Ag1JKb+anlz2JHxDVhG/k762F3GNJSvP3f94dES8Vsa7abDa5xzYcB/wc+FNE3E9u1U8XSKoZJwNtyT0CaR6wW0ppUURsTe4Di2uLWFtdVSv/vWiAq7oDyD1HZd0bsQPoWvhy6oR6KaWFACmlyRHRC3g4IlqQX9FM1S+l9L9Qsez0q/m2t9ZMrVS124vc/9S3BoaklD6JiAEppSFFrqs2W/v3R/2U0psAKaX3I8LFemrGOxFxUErpn+T+Ybsr8FZE+AFozUkppQ+AW4FbI+JbwPHA0IhokVLatbjl1UqrUkqfRsTnwKfAYoCU0se5mcMqglr5rEkDXNVNAj6p7FOriHi1CPXUBR9FxO5r7n/Lj8T1JLdS3F5FrawWi4hv5D8ZP3Wttnqs9VgHVZ/88tLH5afyPR4Rfyh2TXXA3hHxIbkP4BpGxLdSSv+bv+fTaWY143TgrogYDCwFyiPiRXKrOzu1rGZ8ITHkP5wbDgzPz6pQ9ZsWEaPIfSD3JDAyIv5BbiT0laJWVncNIfcQ+1rFRUz0tZVf7viTlNKcddobAMenlO4pTmW1V/4+w5dTSsvXaW8J7J9SursYddUV+Qe/DgH2SSn1KHY9dU1ENAXapJQmFruW2ioi2gB7kPsAeT7wQv4DI1WziOiZf66kCiQi6gN9yY3yjwH2IffQ+reBG1JKHxexvForIr5sUbsA9kgpNSxkPYVggJOkr5mI6JRSmlbsOqSakl9huDXwRn6an1QrRcQ3U0rvF7uO2iz//NTewLq/SwJ4PqW0S+Grqlne01INIsJnY9WAiNg1Iu6NiGci4uL8yNuabQ981bHaNBGxZ0T8PSIeiYjdI+LOiFgSEZPzn5yrmkVEp3W/yK2G2DH/WtUsItaeHtwiIp7M/z1/PiL2KGZttVVE3J1fJIaI6E1u0Z6ryE2l7FvU4mqpiPhPRNwWEQeHN2AVREQcERFvRsSz+d/hM8mtSDk/Ig4udn212MNA45TSW+t8zQPGF7e0muEIXBVFxA+/bBMwIqXUrJD11AUR8Ti5lQ8nAacBnYEfpJQWR8SLKaWORS2wFoqICcA1QGNyS33/itxS1N8HLkgp+T+gapZfNGMSsPazmrrl21JK6aCiFFaLRcS0lFKn/OvR5O5VuZXcQ2DP8+959YuIl1NK7fOvnwd+lFKat2blz5TS3sWtsPbJ359/PbkpfC3JTen7S0ppUjHrqs0iopxcfzclFyqOSilNyn8Aes+a3zvS5jLAVVFErADuofLVD49LKbnkdzWLiPKUUsla708Cfg30Af7qL8Lqt3YwjojXU0rfXWvbNPu8+kXEccBPgKtSSo/m295MKbUqbmW11zoBbt3fM344VAPyIxH7ppQ+jIhngR5r7n2LiJkpJRemqmbr/D3/NtA//9UUuDeldHEx66uN1unzd9Ze6XPd3zXS5nAVyqqbDgxLKc1Yd0NEHFKEeuqCBhGx5ZoFNVJKd0fE/wKPkVvhSdVv7RX41n1ejatQ1oCU0pj8KmW/jYj/Ife8Jj9Zq1ktImI4uRkUzSKiQUppRX5bg684TptuCPBURNwAPAf8NSIeJLc63z+KWlntVTFtMr/a7dXA1RHxPXJBTtVvSUScCWwDfBARFwKjyT37cN3HUEmbzABXdRcAH37JtmMLWUgdchu5FZwqHt2QUnoif7/E1UWrqna7ISIap5SWpZRuXNMYEd8FnihiXbVaSmkZcGFElAAjyU1hVc25aK3XU8j19wf552SNLU5JtVtKaXRETAPO4L+rUO5LbkrfY0UtrvZ6qrLG/PM9fc5kzRgA/F9gNXAYuemUjwFvkfu7L1ULp1BK0tdIfrGBJimlL/vASJIk1WGuQlkNIuL7xa6hrrHPC88+L4yU8yHY58VgnxeefV549nnh2eeqTga46lFa7ALqIPu88OzzwrPPC88+Lzz7vPDs88Kzz1VtnEK5ESJiT3LLTDcnt8jAAmBsSmlWUQurxezzwrPPC88+Lzz7vPDs88KzzwvPPlchOAJXRRHxK+Becqs6TQZeyL/+S0QMKmZttZV9Xnj2eeHZ54VnnxeefV549nnh2ecqFEfgqigiXgP2Wmup6TXtWwAzU0qti1NZ7WWfF559Xnj2eeHZ54VnnxeefV549rkKxRG4qlsN7FJJ+875bap+9nnh2eeFZ58Xnn1eePZ54dnnhWefqyB8DlzVXQA8GRFzgHfybd8GvgucV7Sqajf7vPDs88KzzwvPPi88+7zw7PPCs89VEE6h3AgR8Q2gK7kbUwOYD7yQUlpV1MJqMfu88OzzwrPPC88+Lzz7vPDs88Kzz1UIBjhJkiRJygjvgZMkSZKkjDDASZIkSVJGGOAkSVpHRIyPiC7FrkOSpHUZ4CRJdVJE1Ct2DZIkbSwDnCSp1omIlhExOyJGRsT0iBgTEVtFxLyIuDQingX6RkRJREzK73N/RGy31mlOiojnI2JGRHTNn/fAiCjPf70YEU2K8xNKkuoqA5wkqbb6HnBLSqkD8CFwTr59eUpp/5TSvcBdwK/y+7wMXLbW8VunlPbLH3dHvu0XwLkppRLgAODTAvwckiRVMMBJkmqrd1JKz+Vf3w3sn39dBhAR2wJNU0pP59tHAj3WOv4vACmlCcA2EdEUeA64NiLOzx+7soZ/BkmSvsAAJ0mqrdZ90Oma9x9v6vEppaHA6UAjYFJE7LkZ9UmStNEMcJKk2urbEbFv/vUJwLNrb0wpLQU+iIgD8k0nA0+vtUs/gIjYH1iaUloaEbunlF5OKV0FTAEMcJKkgjLASZJqq1nAgIiYDmwP3FTJPgOAa/L7lACXr7Xtg4h4HhgBnJZvuyC/qMlL5O5/+3uNVS9JUiUipXVniEiSlG0R0RJ4OKXUrsilSJJUrRyBkyRJkqSMcAROkiRJkjLCEThJkiRJyggDnCRJkiRlhAFOkiRJkjLCACdJkiRJGWGAkyRJkqSMMMBJkiRJUkb8f6Cg50oR2eCnAAAAAElFTkSuQmCC\n",
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\n",
       "text/plain": [
        "<Figure size 1080x360 with 1 Axes>"
       ]
@@ -1262,22 +1217,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f6958645ba8>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1effecd990>"
       ]
      },
-     "execution_count": 72,
+     "execution_count": 46,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1296,7 +1251,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 73,
+   "execution_count": 47,
    "metadata": {
     "scrolled": false
    },
@@ -1305,17 +1260,12 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/home/alejandro/anaconda3/envs/xai/lib/python3.7/site-packages/pandas/core/indexing.py:189: SettingWithCopyWarning: \n",
-      "A value is trying to be set on a copy of a slice from a DataFrame\n",
-      "\n",
-      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
-      "  self._setitem_with_indexer(indexer, value)\n",
       "WARNING:root:No categorical_cols passed so inferred using np.object, np.int8 and np.bool: Index(['target', 'manual-review'], dtype='object'). If you see an error these are not correct, please provide them as a string array as: categorical_cols=['col1', 'col2', ...]\n"
      ]
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 1080x360 with 1 Axes>"
       ]
@@ -1338,22 +1288,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f69586487f0>"
+       "<matplotlib.axes._subplots.AxesSubplot at 0x7f1ec01c9850>"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 48,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1370,7 +1320,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [
     {
@@ -1411,41 +1361,41 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.030583</td>\n",
-       "      <td>0.0045</td>\n",
-       "      <td>-0.000417</td>\n",
-       "      <td>0.044083</td>\n",
-       "      <td>0.089583</td>\n",
-       "      <td>0.018417</td>\n",
-       "      <td>0.02575</td>\n",
-       "      <td>0.002417</td>\n",
-       "      <td>0.001167</td>\n",
-       "      <td>0.040667</td>\n",
-       "      <td>0.003083</td>\n",
-       "      <td>0.011917</td>\n",
+       "      <td>0.01825</td>\n",
+       "      <td>0.002167</td>\n",
+       "      <td>0.000833</td>\n",
+       "      <td>0.046</td>\n",
+       "      <td>0.065667</td>\n",
+       "      <td>0.019083</td>\n",
+       "      <td>0.02425</td>\n",
+       "      <td>0.00275</td>\n",
+       "      <td>0.000833</td>\n",
+       "      <td>0.05075</td>\n",
+       "      <td>0.007833</td>\n",
+       "      <td>0.014417</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "        age  workclass  education  education-num  marital-status  occupation  \\\n",
-       "0  0.030583     0.0045  -0.000417       0.044083        0.089583    0.018417   \n",
+       "       age  workclass  education  education-num  marital-status  occupation  \\\n",
+       "0  0.01825   0.002167   0.000833          0.046        0.065667    0.019083   \n",
        "\n",
        "   relationship  ethnicity    gender  capital-gain  capital-loss  \\\n",
-       "0       0.02575   0.002417  0.001167      0.040667      0.003083   \n",
+       "0       0.02425    0.00275  0.000833       0.05075      0.007833   \n",
        "\n",
        "   hours-per-week  \n",
-       "0        0.011917  "
+       "0        0.014417  "
       ]
      },
-     "execution_count": 75,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
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diff --git a/meta.yaml b/meta.yaml
index 58b588f..32053f0 100644
--- a/meta.yaml
+++ b/meta.yaml
@@ -1,9 +1,11 @@
 package: 
     name: xai
-    version: "0.0.2"
-    
+    version: "0.1.0"
+
 python:
     - 3.6
+    - 3.7
+    - 3.8
 
 build:
     number: 1
@@ -31,30 +33,30 @@ requirements:
     build:
         - python
         - setuptools
-        - pandas==0.23.4
-        - matplotlib==3.0.2
-        - numpy==1.15.4
-        - scipy==1.1.0
-        - scikit-learn==0.20.1
-        - python-dateutil==2.7.5
-        - pytz==2018.7
-        - pyparsing==2.3.0
-        - cycler==0.10.0
-        - kiwisolver==1.0.1
-        - six==1.12.0
+        - pandas
+        - matplotlib
+        - numpy
+        - scipy
+        - scikit-learn
+        - python-dateutil
+        - pytz
+        - pyparsing
+        - cycler
+        - kiwisolver
+        - six
 
     run:
         - python
         - setuptools
-        - pandas==0.23.4
-        - matplotlib==3.0.2
-        - numpy==1.15.4
-        - scipy==1.1.0
-        - scikit-learn==0.20.1
-        - python-dateutil==2.7.5
-        - pytz==2018.7
-        - pyparsing==2.3.0
-        - cycler==0.10.0
-        - kiwisolver==1.0.1
-        - six==1.12.0
+        - pandas
+        - matplotlib
+        - numpy
+        - scipy
+        - scikit-learn
+        - python-dateutil
+        - pytz
+        - pyparsing
+        - cycler
+        - kiwisolver
+        - six
 
diff --git a/requirements.txt b/requirements.txt
index 7ee8e49..f3b8509 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,12 +1,12 @@
-pandas==0.25.0
-matplotlib==3.0.2
-numpy==1.15.4
-scipy==1.1.0
-scikit-learn==0.20.1
-python-dateutil==2.7.5
-pytz==2018.7
-pyparsing==2.3.0
-cycler==0.10.0
-kiwisolver==1.0.1
-six==1.12.0
+pandas<1.3.4
+matplotlib<3.4.3
+numpy<1.21.3
+scipy<1.7.1
+scikit-learn<1.0.1
+python-dateutil
+pytz
+pyparsing
+cycler
+kiwisolver
+six
 
diff --git a/setup.py b/setup.py
index 80be3b5..47e2b48 100644
--- a/setup.py
+++ b/setup.py
@@ -26,7 +26,7 @@ def run(self):
 
 setup(
     name="xai",
-    version="0.0.4",
+    version="0.1.0",
     description="XAI - An industry-ready machine learning library that ensures explainable AI by design",
     long_description=readme,
     author="Alejandro Saucedo",