\n", - " | city_name | \n", - "date | \n", - "pm2_5 | \n", - "
---|---|---|---|
11887 | \n", - "Gdansk | \n", - "2014-09-21 | \n", - "23.0 | \n", - "
17498 | \n", - "Kraków | \n", - "2019-10-23 | \n", - "56.0 | \n", - "
42593 | \n", - "Paris | \n", - "2016-08-04 | \n", - "7.0 | \n", - "
\n", - " | date | \n", - "city_name | \n", - "pm2_5 | \n", - "
---|---|---|---|
21476 | \n", - "2015-01-14 | \n", - "Houston | \n", - "11.3 | \n", - "
26321 | \n", - "2018-11-28 | \n", - "Los Angeles | \n", - "7.8 | \n", - "
43002 | \n", - "2014-09-01 | \n", - "Tampa | \n", - "11.8 | \n", - "
\n", - " | city_name | \n", - "date | \n", - "pm2_5 | \n", - "
---|---|---|---|
8709 | \n", - "SEATTLE - BEACON HILL | \n", - "2015-11-05 | \n", - "9.5 | \n", - "
6634 | \n", - "DARRINGTON - FIR ST (Darrington High School) | \n", - "2014-06-24 | \n", - "1.7 | \n", - "
45134 | \n", - "NORTH BEND - NORTH BEND WAY | \n", - "2023-01-12 | \n", - "0.3 | \n", - "
\n", - " | city_name | \n", - "date | \n", - "pm2_5 | \n", - "
---|---|---|---|
106487 | \n", - "Tampa | \n", - "2014-06-30 | \n", - "9.3 | \n", - "
12453 | \n", - "Gdansk | \n", - "2016-04-09 | \n", - "9.0 | \n", - "
101342 | \n", - "Salt Lake City | \n", - "2020-04-29 | \n", - "5.8 | \n", - "
46538 | \n", - "Sevilla | \n", - "2017-02-12 | \n", - "8.0 | \n", - "
117821 | \n", - "Seattle-10th & Weller | \n", - "2015-12-12 | \n", - "5.7 | \n", - "
\n", - " | city_name | \n", - "date | \n", - "temperature_max | \n", - "temperature_min | \n", - "precipitation_sum | \n", - "rain_sum | \n", - "snowfall_sum | \n", - "precipitation_hours | \n", - "wind_speed_max | \n", - "wind_gusts_max | \n", - "wind_direction_dominant | \n", - "
---|---|---|---|---|---|---|---|---|---|---|---|
0 | \n", - "Amsterdam | \n", - "2013-01-01 | \n", - "9.2 | \n", - "5.5 | \n", - "10.2 | \n", - "10.2 | \n", - "0.0 | \n", - "14.0 | \n", - "32.0 | \n", - "62.6 | \n", - "255 | \n", - "
1 | \n", - "Amsterdam | \n", - "2013-01-02 | \n", - "7.8 | \n", - "5.6 | \n", - "0.5 | \n", - "0.5 | \n", - "0.0 | \n", - "2.0 | \n", - "22.9 | \n", - "39.6 | \n", - "251 | \n", - "
2 | \n", - "Amsterdam | \n", - "2013-01-03 | \n", - "10.3 | \n", - "8.2 | \n", - "2.0 | \n", - "2.0 | \n", - "0.0 | \n", - "6.0 | \n", - "22.2 | \n", - "39.2 | \n", - "255 | \n", - "
\n", - " | city_name | \n", - "date | \n", - "pm2_5 | \n", - "
---|---|---|---|
1347 | \n", - "Tulalip-Totem Beach Rd | \n", - "2024-05-12 | \n", - "6.8 | \n", - "
1348 | \n", - "Tulalip-Totem Beach Rd | \n", - "2024-05-13 | \n", - "4.1 | \n", - "
1349 | \n", - "Tulalip-Totem Beach Rd | \n", - "2024-05-14 | \n", - "6.6 | \n", - "
\n", - " | city_name | \n", - "date | \n", - "pm2_5 | \n", - "pm_2_5_previous_1_day | \n", - "pm_2_5_previous_2_day | \n", - "pm_2_5_previous_3_day | \n", - "pm_2_5_previous_4_day | \n", - "pm_2_5_previous_5_day | \n", - "pm_2_5_previous_6_day | \n", - "pm_2_5_previous_7_day | \n", - "... | \n", - "exp_std_28_days | \n", - "year | \n", - "day_of_month | \n", - "month | \n", - "day_of_week | \n", - "is_weekend | \n", - "sin_day_of_year | \n", - "cos_day_of_year | \n", - "sin_day_of_week | \n", - "cos_day_of_week | \n", - "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1347 | \n", - "Napoli | \n", - "2024-05-14 | \n", - "18.0 | \n", - "16.4 | \n", - "11.9 | \n", - "9.3 | \n", - "8.8 | \n", - "6.8 | \n", - "10.3 | \n", - "12.0 | \n", - "... | \n", - "3.937156 | \n", - "2024 | \n", - "14 | \n", - "5 | \n", - "1 | \n", - "0 | \n", - "0.729558 | \n", - "-0.683919 | \n", - "0.781831 | \n", - "0.62349 | \n", - "
1348 | \n", - "Los Angeles | \n", - "2024-05-14 | \n", - "19.3 | \n", - "15.9 | \n", - "16.8 | \n", - "16.1 | \n", - "16.1 | \n", - "15.7 | \n", - "19.9 | \n", - "20.6 | \n", - "... | \n", - "5.137784 | \n", - "2024 | \n", - "14 | \n", - "5 | \n", - "1 | \n", - "0 | \n", - "0.729558 | \n", - "-0.683919 | \n", - "0.781831 | \n", - "0.62349 | \n", - "
1349 | \n", - "Houston | \n", - "2024-05-14 | \n", - "21.5 | \n", - "13.7 | \n", - "12.9 | \n", - "7.2 | \n", - "10.1 | \n", - "14.7 | \n", - "9.8 | \n", - "8.9 | \n", - "... | \n", - "2.577200 | \n", - "2024 | \n", - "14 | \n", - "5 | \n", - "1 | \n", - "0 | \n", - "0.729558 | \n", - "-0.683919 | \n", - "0.781831 | \n", - "0.62349 | \n", - "
3 rows × 31 columns
\n", - "\n", - " | city_name | \n", - "date | \n", - "temperature_max | \n", - "temperature_min | \n", - "precipitation_sum | \n", - "rain_sum | \n", - "snowfall_sum | \n", - "precipitation_hours | \n", - "wind_speed_max | \n", - "wind_gusts_max | \n", - "wind_direction_dominant | \n", - "unix_time | \n", - "
---|---|---|---|---|---|---|---|---|---|---|---|---|
87 | \n", - "Tukwila Allentown | \n", - "2024-05-14 | \n", - "20.7 | \n", - "9.8 | \n", - "0.0 | \n", - "0.0 | \n", - "0.0 | \n", - "0.0 | \n", - "16.9 | \n", - "25.6 | \n", - "8 | \n", - "1715644800000 | \n", - "
88 | \n", - "Tulalip-Totem Beach Rd | \n", - "2024-05-13 | \n", - "19.4 | \n", - "10.0 | \n", - "0.0 | \n", - "0.0 | \n", - "0.0 | \n", - "0.0 | \n", - "21.6 | \n", - "52.2 | \n", - "330 | \n", - "1715558400000 | \n", - "
89 | \n", - "Tulalip-Totem Beach Rd | \n", - "2024-05-14 | \n", - "17.9 | \n", - "7.6 | \n", - "0.0 | \n", - "0.0 | \n", - "0.0 | \n", - "0.0 | \n", - "17.6 | \n", - "41.0 | \n", - "337 | \n", - "1715644800000 | \n", - "
\n", - " | pm_2_5_previous_1_day | \n", - "pm_2_5_previous_2_day | \n", - "pm_2_5_previous_3_day | \n", - "pm_2_5_previous_4_day | \n", - "pm_2_5_previous_5_day | \n", - "pm_2_5_previous_6_day | \n", - "pm_2_5_previous_7_day | \n", - "mean_7_days | \n", - "mean_14_days | \n", - "mean_28_days | \n", - "... | \n", - "temperature_max | \n", - "temperature_min | \n", - "precipitation_sum | \n", - "rain_sum | \n", - "snowfall_sum | \n", - "precipitation_hours | \n", - "wind_speed_max | \n", - "wind_gusts_max | \n", - "wind_direction_dominant | \n", - "city_name_encoded | \n", - "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
105818 | \n", - "0.0 | \n", - "0.0 | \n", - "2.0 | \n", - "3.0 | \n", - "6.0 | \n", - "6.0 | \n", - "7.0 | \n", - "3.428571 | \n", - "6.857143 | \n", - "5.142857 | \n", - "... | \n", - "5.1 | \n", - "3.7 | \n", - "1.6 | \n", - "1.6 | \n", - "0.0 | \n", - "6.0 | \n", - "27.2 | \n", - "47.9 | \n", - "6 | \n", - "39 | \n", - "
66979 | \n", - "4.7 | \n", - "3.7 | \n", - "3.9 | \n", - "8.0 | \n", - "15.3 | \n", - "14.2 | \n", - "10.6 | \n", - "8.628571 | \n", - "8.850000 | \n", - "9.428571 | \n", - "... | \n", - "0.0 | \n", - "-6.8 | \n", - "0.0 | \n", - "0.0 | \n", - "0.0 | \n", - "0.0 | \n", - "19.3 | \n", - "45.0 | \n", - "60 | \n", - "36 | \n", - "
122223 | \n", - "10.0 | \n", - "12.0 | \n", - "4.0 | \n", - "10.0 | \n", - "3.0 | \n", - "4.0 | \n", - "4.0 | \n", - "6.714286 | \n", - "10.000000 | \n", - "10.964286 | \n", - "... | \n", - "1.5 | \n", - "-1.9 | \n", - "0.0 | \n", - "0.0 | \n", - "0.0 | \n", - "0.0 | \n", - "13.5 | \n", - "24.1 | \n", - "279 | \n", - "11 | \n", - "
3 rows × 38 columns
\n", - "XGBRegressor(base_score=None, booster=None, callbacks=None,\n", - " colsample_bylevel=None, colsample_bynode=None,\n", - " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", - " enable_categorical=False, eval_metric=None, feature_types=None,\n", - " gamma=None, grow_policy=None, importance_type=None,\n", - " interaction_constraints=None, learning_rate=None, max_bin=None,\n", - " max_cat_threshold=None, max_cat_to_onehot=None,\n", - " max_delta_step=None, max_depth=None, max_leaves=None,\n", - " min_child_weight=None, missing=nan, monotone_constraints=None,\n", - " multi_strategy=None, n_estimators=None, n_jobs=None,\n", - " num_parallel_tree=None, random_state=None, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
XGBRegressor(base_score=None, booster=None, callbacks=None,\n", - " colsample_bylevel=None, colsample_bynode=None,\n", - " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", - " enable_categorical=False, eval_metric=None, feature_types=None,\n", - " gamma=None, grow_policy=None, importance_type=None,\n", - " interaction_constraints=None, learning_rate=None, max_bin=None,\n", - " max_cat_threshold=None, max_cat_to_onehot=None,\n", - " max_delta_step=None, max_depth=None, max_leaves=None,\n", - " min_child_weight=None, missing=nan, monotone_constraints=None,\n", - " multi_strategy=None, n_estimators=None, n_jobs=None,\n", - " num_parallel_tree=None, random_state=None, ...)
XGBRegressor(base_score=None, booster=None, callbacks=None,\n", - " colsample_bylevel=None, colsample_bynode=None,\n", - " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", - " enable_categorical=False, eval_metric=None, feature_types=None,\n", - " gamma=None, grow_policy=None, importance_type=None,\n", - " interaction_constraints=None, learning_rate=None, max_bin=None,\n", - " max_cat_threshold=None, max_cat_to_onehot=None,\n", - " max_delta_step=None, max_depth=None, max_leaves=None,\n", - " min_child_weight=None, missing=nan, monotone_constraints=None,\n", - " multi_strategy=None, n_estimators=None, n_jobs=None,\n", - " num_parallel_tree=None, random_state=None, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
XGBRegressor(base_score=None, booster=None, callbacks=None,\n", - " colsample_bylevel=None, colsample_bynode=None,\n", - " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", - " enable_categorical=False, eval_metric=None, feature_types=None,\n", - " gamma=None, grow_policy=None, importance_type=None,\n", - " interaction_constraints=None, learning_rate=None, max_bin=None,\n", - " max_cat_threshold=None, max_cat_to_onehot=None,\n", - " max_delta_step=None, max_depth=None, max_leaves=None,\n", - " min_child_weight=None, missing=nan, monotone_constraints=None,\n", - " multi_strategy=None, n_estimators=None, n_jobs=None,\n", - " num_parallel_tree=None, random_state=None, ...)
\n", - " | pm_2_5_previous_1_day | \n", - "pm_2_5_previous_2_day | \n", - "pm_2_5_previous_3_day | \n", - "pm_2_5_previous_4_day | \n", - "pm_2_5_previous_5_day | \n", - "pm_2_5_previous_6_day | \n", - "pm_2_5_previous_7_day | \n", - "mean_7_days | \n", - "mean_14_days | \n", - "mean_28_days | \n", - "... | \n", - "temperature_max | \n", - "temperature_min | \n", - "precipitation_sum | \n", - "rain_sum | \n", - "snowfall_sum | \n", - "precipitation_hours | \n", - "wind_speed_max | \n", - "wind_gusts_max | \n", - "wind_direction_dominant | \n", - "city_name_encoded | \n", - "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | \n", - "5.3 | \n", - "16.2 | \n", - "16.3 | \n", - "15.4 | \n", - "25.0 | \n", - "17.2 | \n", - "10.2 | \n", - "15.085714 | \n", - "15.242857 | \n", - "12.939286 | \n", - "... | \n", - "14.2 | \n", - "8.4 | \n", - "0.0 | \n", - "0.00 | \n", - "0.0 | \n", - "0.0 | \n", - "34.7 | \n", - "59.4 | \n", - "302 | \n", - "20 | \n", - "
1 | \n", - "12.2 | \n", - "17.5 | \n", - "12.1 | \n", - "14.5 | \n", - "12.3 | \n", - "16.8 | \n", - "14.3 | \n", - "14.242857 | \n", - "19.857143 | \n", - "18.432143 | \n", - "... | \n", - "13.1 | \n", - "10.5 | \n", - "20.9 | \n", - "20.90 | \n", - "0.0 | \n", - "22.0 | \n", - "40.1 | \n", - "64.8 | \n", - "212 | \n", - "24 | \n", - "
2 | \n", - "11.6 | \n", - "8.0 | \n", - "18.2 | \n", - "12.7 | \n", - "9.9 | \n", - "6.8 | \n", - "12.5 | \n", - "11.385714 | \n", - "9.921429 | \n", - "8.271429 | \n", - "... | \n", - "10.8 | \n", - "5.2 | \n", - "9.1 | \n", - "13.65 | \n", - "0.0 | \n", - "5.0 | \n", - "14.8 | \n", - "43.2 | \n", - "180 | \n", - "30 | \n", - "
3 rows × 38 columns
\n", - "XGBRegressor(base_score=None, booster=None, callbacks=None,\n", - " colsample_bylevel=None, colsample_bynode=None,\n", - " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", - " enable_categorical=False, eval_metric=None, feature_types=None,\n", - " gamma=None, grow_policy=None, importance_type=None,\n", - " interaction_constraints=None, learning_rate=None, max_bin=None,\n", - " max_cat_threshold=None, max_cat_to_onehot=None,\n", - " max_delta_step=None, max_depth=None, max_leaves=None,\n", - " min_child_weight=None, missing=nan, monotone_constraints=None,\n", - " multi_strategy=None, n_estimators=None, n_jobs=None,\n", - " num_parallel_tree=None, random_state=None, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
XGBRegressor(base_score=None, booster=None, callbacks=None,\n", - " colsample_bylevel=None, colsample_bynode=None,\n", - " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", - " enable_categorical=False, eval_metric=None, feature_types=None,\n", - " gamma=None, grow_policy=None, importance_type=None,\n", - " interaction_constraints=None, learning_rate=None, max_bin=None,\n", - " max_cat_threshold=None, max_cat_to_onehot=None,\n", - " max_delta_step=None, max_depth=None, max_leaves=None,\n", - " min_child_weight=None, missing=nan, monotone_constraints=None,\n", - " multi_strategy=None, n_estimators=None, n_jobs=None,\n", - " num_parallel_tree=None, random_state=None, ...)
\n", - " | cheque_no | \n", - "user1 | \n", - "user2 | \n", - "amount_in_text | \n", - "amount_in_numbers | \n", - "signature_file | \n", - "bank_name | \n", - "user2name | \n", - "valid | \n", - "
---|---|---|---|---|---|---|---|---|---|
0 | \n", - "1 | \n", - "24 | \n", - "18 | \n", - "Three Thousand Seven Hundred and Fifty Five | \n", - "3755 | \n", - "120.png | \n", - "axis | \n", - "Edmee Pelletier | \n", - "1 | \n", - "
1 | \n", - "2 | \n", - "14 | \n", - "14 | \n", - "Three Thousand One Hundred and Sixty Eight | \n", - "3168 | \n", - "71.png | \n", - "axis | \n", - "Renata Lukic | \n", - "1 | \n", - "
2 | \n", - "3 | \n", - "15 | \n", - "32 | \n", - "Six Thousand Nine Hundred and Forty Two | \n", - "6942 | \n", - "76.png | \n", - "axis | \n", - "Chelsea Watson | \n", - "1 | \n", - "
3 | \n", - "4 | \n", - "27 | \n", - "5 | \n", - "Nine Thousand Five Hundred and Forty One | \n", - "9541 | \n", - "137.png | \n", - "axis | \n", - "Fawwaz Zuhayr Mustafa | \n", - "1 | \n", - "
4 | \n", - "5 | \n", - "5 | \n", - "24 | \n", - "Two Thousand Nine Hundred and Twelve | \n", - "2912 | \n", - "26.png | \n", - "axis | \n", - "Clarice Blanc | \n", - "1 | \n", - "
\n", - " | cheque_no | \n", - "user1 | \n", - "user2 | \n", - "amount_in_text | \n", - "amount_in_numbers | \n", - "signature_file | \n", - "bank_name | \n", - "user2name | \n", - "valid | \n", - "
---|---|---|---|---|---|---|---|---|---|
0 | \n", - "1 | \n", - "24 | \n", - "18 | \n", - "Three Thousand Seven Hundred and Fifty Five | \n", - "3755 | \n", - "120.png | \n", - "axis | \n", - "Edmee Pelletier | \n", - "1 | \n", - "
\n", - " | cheque_no | \n", - "user1 | \n", - "user2 | \n", - "amount_in_text | \n", - "amount_in_numbers | \n", - "signature_file | \n", - "bank_name | \n", - "user2name | \n", - "valid | \n", - "
---|---|---|---|---|---|---|---|---|---|
500 | \n", - "501 | \n", - "4 | \n", - "41 | \n", - "One Thousand and Five | \n", - "3708 | \n", - "Nan | \n", - "axis | \n", - "Germa de Geus | \n", - "0 | \n", - "
501 | \n", - "502 | \n", - "38 | \n", - "31 | \n", - "Three Hundred and Thirty Six | \n", - "3318 | \n", - "Nan | \n", - "axis | \n", - "Naomi Grant | \n", - "0 | \n", - "
502 | \n", - "503 | \n", - "35 | \n", - "27 | \n", - "\n", - " | 8999 | \n", - "177.png | \n", - "axis | \n", - "Colette Monjeau | \n", - "0 | \n", - "
503 | \n", - "504 | \n", - "36 | \n", - "3 | \n", - "Three Thousand and Fifty Seven | \n", - "3707 | \n", - "Nan | \n", - "axis | \n", - "Jiang Li Tao | \n", - "0 | \n", - "
504 | \n", - "505 | \n", - "13 | \n", - "27 | \n", - "Nineteen | \n", - "\n", - " | 68.png | \n", - "axis | \n", - "Colette Monjeau | \n", - "0 | \n", - "
\n", - " | cheque_no | \n", - "user1 | \n", - "user2 | \n", - "amount_in_text | \n", - "amount_in_numbers | \n", - "signature_file | \n", - "bank_name | \n", - "user2name | \n", - "valid | \n", - "spelling_is_correct | \n", - "amount_in_text_corrected | \n", - "
---|---|---|---|---|---|---|---|---|---|---|---|
0 | \n", - "1 | \n", - "24 | \n", - "18 | \n", - "Three Thousand Seven Hundred and Fifty Five | \n", - "3755 | \n", - "120.png | \n", - "axis | \n", - "Edmee Pelletier | \n", - "1 | \n", - "True | \n", - "three thousand seven hundred and fifty five | \n", - "
1 | \n", - "2 | \n", - "14 | \n", - "14 | \n", - "Three Thousand One Hundred and Sixty Eight | \n", - "3168 | \n", - "71.png | \n", - "axis | \n", - "Renata Lukic | \n", - "1 | \n", - "True | \n", - "three thousand one hundred and sixty eight | \n", - "
2 | \n", - "3 | \n", - "15 | \n", - "32 | \n", - "Six Thousand Nine Hundred and Forty Two | \n", - "6942 | \n", - "76.png | \n", - "axis | \n", - "Chelsea Watson | \n", - "1 | \n", - "True | \n", - "six thousand nine hundred and forty two | \n", - "
\n", - " | cheque_no | \n", - "user1 | \n", - "user2 | \n", - "amount_in_text | \n", - "amount_in_numbers | \n", - "signature_file | \n", - "bank_name | \n", - "user2name | \n", - "valid | \n", - "spelling_is_correct | \n", - "amount_in_text_corrected | \n", - "
---|---|---|---|---|---|---|---|---|---|---|---|
502 | \n", - "503 | \n", - "35 | \n", - "27 | \n", - "\n", - " | 8999 | \n", - "177.png | \n", - "axis | \n", - "Colette Monjeau | \n", - "0 | \n", - "False | \n", - "missing | \n", - "
505 | \n", - "506 | \n", - "5 | \n", - "1 | \n", - "\n", - " | 7989 | \n", - "28.png | \n", - "axis | \n", - "Emily D. Short | \n", - "0 | \n", - "False | \n", - "missing | \n", - "
507 | \n", - "508 | \n", - "29 | \n", - "4 | \n", - "\n", - " | 5113 | \n", - "149.png | \n", - "axis | \n", - "Wafiyah Nashwa Wasem | \n", - "0 | \n", - "False | \n", - "missing | \n", - "
\n", - " | cheque_no | \n", - "user1 | \n", - "user2 | \n", - "amount_in_text | \n", - "amount_in_numbers | \n", - "signature_file | \n", - "bank_name | \n", - "user2name | \n", - "valid | \n", - "spelling_is_correct | \n", - "amount_in_text_corrected | \n", - "amount_letter_number_match | \n", - "
---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | \n", - "1 | \n", - "24 | \n", - "18 | \n", - "Three Thousand Seven Hundred and Fifty Five | \n", - "3755 | \n", - "120.png | \n", - "axis | \n", - "Edmee Pelletier | \n", - "1 | \n", - "True | \n", - "three thousand seven hundred and fifty five | \n", - "True | \n", - "
1 | \n", - "2 | \n", - "14 | \n", - "14 | \n", - "Three Thousand One Hundred and Sixty Eight | \n", - "3168 | \n", - "71.png | \n", - "axis | \n", - "Renata Lukic | \n", - "1 | \n", - "True | \n", - "three thousand one hundred and sixty eight | \n", - "True | \n", - "
2 | \n", - "3 | \n", - "15 | \n", - "32 | \n", - "Six Thousand Nine Hundred and Forty Two | \n", - "6942 | \n", - "76.png | \n", - "axis | \n", - "Chelsea Watson | \n", - "1 | \n", - "True | \n", - "six thousand nine hundred and forty two | \n", - "True | \n", - "
\n", - " | cheque_no | \n", - "user1 | \n", - "user2 | \n", - "amount_in_text | \n", - "amount_in_numbers | \n", - "signature_file | \n", - "bank_name | \n", - "user2name | \n", - "valid | \n", - "spelling_is_correct | \n", - "amount_in_text_corrected | \n", - "amount_letter_number_match | \n", - "
---|---|---|---|---|---|---|---|---|---|---|---|---|
502 | \n", - "503 | \n", - "35 | \n", - "27 | \n", - "\n", - " | 8999 | \n", - "177.png | \n", - "axis | \n", - "Colette Monjeau | \n", - "0 | \n", - "False | \n", - "missing | \n", - "False | \n", - "
505 | \n", - "506 | \n", - "5 | \n", - "1 | \n", - "\n", - " | 7989 | \n", - "28.png | \n", - "axis | \n", - "Emily D. Short | \n", - "0 | \n", - "False | \n", - "missing | \n", - "False | \n", - "
507 | \n", - "508 | \n", - "29 | \n", - "4 | \n", - "\n", - " | 5113 | \n", - "149.png | \n", - "axis | \n", - "Wafiyah Nashwa Wasem | \n", - "0 | \n", - "False | \n", - "missing | \n", - "False | \n", - "
\n", - " | spelling_is_correct | \n", - "amount_letter_number_match | \n", - "
---|---|---|
0 | \n", - "True | \n", - "False | \n", - "
1 | \n", - "True | \n", - "True | \n", - "
2 | \n", - "True | \n", - "True | \n", - "
\n", - " | valid | \n", - "
---|---|
0 | \n", - "0 | \n", - "
1 | \n", - "1 | \n", - "
2 | \n", - "1 | \n", - "
XGBClassifier(base_score=None, booster=None, callbacks=None,\n", - " colsample_bylevel=None, colsample_bynode=None,\n", - " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", - " enable_categorical=False, eval_metric=None, feature_types=None,\n", - " gamma=None, grow_policy=None, importance_type=None,\n", - " interaction_constraints=None, learning_rate=None, max_bin=None,\n", - " max_cat_threshold=None, max_cat_to_onehot=None,\n", - " max_delta_step=None, max_depth=None, max_leaves=None,\n", - " min_child_weight=None, missing=nan, monotone_constraints=None,\n", - " multi_strategy=None, n_estimators=None, n_jobs=None,\n", - " num_parallel_tree=None, random_state=None, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
XGBClassifier(base_score=None, booster=None, callbacks=None,\n", - " colsample_bylevel=None, colsample_bynode=None,\n", - " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", - " enable_categorical=False, eval_metric=None, feature_types=None,\n", - " gamma=None, grow_policy=None, importance_type=None,\n", - " interaction_constraints=None, learning_rate=None, max_bin=None,\n", - " max_cat_threshold=None, max_cat_to_onehot=None,\n", - " max_delta_step=None, max_depth=None, max_leaves=None,\n", - " min_child_weight=None, missing=nan, monotone_constraints=None,\n", - " multi_strategy=None, n_estimators=None, n_jobs=None,\n", - " num_parallel_tree=None, random_state=None, ...)