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@felipegonzalez
felipegonzalez committed Oct 10, 2023
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6 changes: 6 additions & 0 deletions 01-introduccion.html
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<span class="menu-text"><span class="chapter-number">13</span>&nbsp; <span class="chapter-title">Métodos basados en árboles: boosting</span></span></a>
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6 changes: 6 additions & 0 deletions 02-principios-supervisado.html
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6 changes: 6 additions & 0 deletions 05-regularizacion-1.html
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28 changes: 17 additions & 11 deletions 06-redes-neuronales-1.html
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Expand Down Expand Up @@ -701,13 +707,13 @@ <h2 data-number="6.2" class="anchored" data-anchor-id="interacciones-en-redes-ne
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<pre><code>[[1]]
[,1]
[1,] -5.422077
[2,] 4.781271
[3,] 5.289690
[4,] -5.083926
[1,] -5.422091
[2,] 4.781280
[3,] 5.289693
[4,] -5.083941

[[2]]
[1] 2.370607</code></pre>
[1] 2.370601</code></pre>
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<p><strong>Ejercicio</strong>: interpreta la red en términos de qué unidades están <em>encendidas</em> (valor cercano a 1) o <em>apagadas</em> (valor cercano a 0). ¿Puedes ajustar este modelo con dos tres unidades intermedias? Haz varias pruebas: ¿qué dificultades encuentras?</p>
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<span id="cb54-2"><a href="#cb54-2" aria-hidden="true" tabindex="-1"></a>preds <span class="sc">|&gt;</span> <span class="fu">head</span>()</span></code><button title="Copiar al portapapeles" class="code-copy-button"><i class="bi"></i></button></pre></div>
<div class="cell-output cell-output-stdout">
<pre><code> [,1]
[1,] 9.117623
[2,] 22.663464
[3,] 8.569628
[4,] 8.558584
[5,] 8.842519
[6,] 8.559466</code></pre>
[1,] 9.117618
[2,] 22.663441
[3,] 8.569652
[4,] 8.558598
[5,] 8.842549
[6,] 8.559493</code></pre>
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<p>Y obtenemos el siguiente resultado:</p>
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6 changes: 6 additions & 0 deletions 07-intervalos-predictivos.html
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<span class="menu-text"><span class="chapter-number">13</span>&nbsp; <span class="chapter-title">Métodos basados en árboles: boosting</span></span></a>
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10 changes: 8 additions & 2 deletions 08-clasificacion-1.html
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<a href="./13-arboles-boosting.html" class="sidebar-item-text sidebar-link">
<span class="menu-text"><span class="chapter-number">13</span>&nbsp; <span class="chapter-title">Métodos basados en árboles: boosting</span></span></a>
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<a href="./14-interpretacion.html" class="sidebar-item-text sidebar-link">
<span class="menu-text"><span class="chapter-number">14</span>&nbsp; <span class="chapter-title">Interpretación de modelos</span></span></a>
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Expand Down Expand Up @@ -2607,11 +2613,11 @@ <h2 data-number="8.8" class="anchored" data-anchor-id="ejercicio-datos-de-diabet
[,1]
[1,] 0.34734303
[2,] 1.01705003
[3,] -0.05472933
[3,] -0.05472932
[4,] -0.02247145
[5,] 0.51263183
[6,] 0.55927497
[7,] 0.45200706
[7,] 0.45200703

[[2]]
[1] -0.9558302</code></pre>
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24 changes: 15 additions & 9 deletions 09-clasificacion-2.html
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<a href="./13-arboles-boosting.html" class="sidebar-item-text sidebar-link">
<span class="menu-text"><span class="chapter-number">13</span>&nbsp; <span class="chapter-title">Métodos basados en árboles: boosting</span></span></a>
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<a href="./14-interpretacion.html" class="sidebar-item-text sidebar-link">
<span class="menu-text"><span class="chapter-number">14</span>&nbsp; <span class="chapter-title">Interpretación de modelos</span></span></a>
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Expand Down Expand Up @@ -716,15 +722,15 @@ <h4 class="unnumbered anchored" data-anchor-id="ejemplo-2">Ejemplo</h4>
.threshold specificity sensitivity
&lt;dbl&gt; &lt;dbl&gt; &lt;dbl&gt;
1 -Inf 0 1
2 0.00305 0 1
3 0.00346 0.00448 1
4 0.00407 0.00897 1
5 0.00438 0.0135 1
6 0.00477 0.0224 1
7 0.00487 0.0269 1
8 0.00505 0.0314 1
9 0.00513 0.0359 1
10 0.00564 0.0404 1
2 0.00304 0 1
3 0.00345 0.00448 1
4 0.00406 0.00897 1
5 0.00437 0.0135 1
6 0.00475 0.0224 1
7 0.00485 0.0269 1
8 0.00504 0.0314 1
9 0.00512 0.0359 1
10 0.00562 0.0404 1
# ℹ 311 more rows</code></pre>
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<div class="sourceCode cell-code" id="cb31"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb31-1"><a href="#cb31-1" aria-hidden="true" tabindex="-1"></a><span class="fu">ggplot</span>(roc_tbl, </span>
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