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diff --git a/01-introduccion.html b/01-introduccion.html
@@ -197,7 +197,7 @@
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- <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Incertidumbre en clasificación</span></span></a>
+ <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Calibración de probabilidades</span></span></a>
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diff --git a/01-introduccion_files/figure-html/unnamed-chunk-14-1.png b/01-introduccion_files/figure-html/unnamed-chunk-14-1.png
diff --git a/02-principios-supervisado.html b/02-principios-supervisado.html
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- <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Incertidumbre en clasificación</span></span></a>
+ <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Calibración de probabilidades</span></span></a>
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diff --git a/03-metodos-locales.html b/03-metodos-locales.html
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- <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Incertidumbre en clasificación</span></span></a>
+ <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Calibración de probabilidades</span></span></a>
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diff --git a/04-lineales-ingenieria.html b/04-lineales-ingenieria.html
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- <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Incertidumbre en clasificación</span></span></a>
+ <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Calibración de probabilidades</span></span></a>
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diff --git a/05-regularizacion-1.html b/05-regularizacion-1.html
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- <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Incertidumbre en clasificación</span></span></a>
+ <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Calibración de probabilidades</span></span></a>
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diff --git a/05-regularizacion-1_files/figure-html/unnamed-chunk-34-1.png b/05-regularizacion-1_files/figure-html/unnamed-chunk-34-1.png
diff --git a/06-redes-neuronales-1.html b/06-redes-neuronales-1.html
@@ -197,7 +197,7 @@
         <li class="sidebar-item">
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   <a href="./10-clasificacion-calibracion.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Incertidumbre en clasificación</span></span></a>
+ <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Calibración de probabilidades</span></span></a>
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@@ -683,13 +683,13 @@ <h2 data-number="6.2" class="anchored" data-anchor-id="interacciones-en-redes-ne
 <div class="cell-output cell-output-stdout">
 <pre><code>[[1]]
           [,1]
-[1,] -5.422091
-[2,]  4.781280
-[3,]  5.289693
-[4,] -5.083941
+[1,] -5.422077
+[2,]  4.781271
+[3,]  5.289690
+[4,] -5.083926
 
 [[2]]
-[1] 2.370601</code></pre>
+[1] 2.370607</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>
@@ -1062,12 +1062,12 @@ <h3 class="unnumbered anchored" data-anchor-id="ejemplo-regresión">Ejemplo (reg
 <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,]  9.117618
-[2,] 22.663441
-[3,]  8.569652
-[4,]  8.558598
-[5,]  8.842549
-[6,]  8.559493</code></pre>
+[1,]  9.117623
+[2,] 22.663464
+[3,]  8.569628
+[4,]  8.558584
+[5,]  8.842519
+[6,]  8.559466</code></pre>
 </div>
 </div>
 <p>Y obtenemos el siguiente resultado:</p>

diff --git a/06-redes-neuronales-1_files/figure-html/unnamed-chunk-31-1.png b/06-redes-neuronales-1_files/figure-html/unnamed-chunk-31-1.png
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diff --git a/06-redes-neuronales-1_files/figure-html/unnamed-chunk-50-1.png b/06-redes-neuronales-1_files/figure-html/unnamed-chunk-50-1.png
diff --git a/06-redes-neuronales-1_files/figure-html/unnamed-chunk-53-1.png b/06-redes-neuronales-1_files/figure-html/unnamed-chunk-53-1.png
diff --git a/07-intervalos-predictivos.html b/07-intervalos-predictivos.html
@@ -197,7 +197,7 @@
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- <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Incertidumbre en clasificación</span></span></a>
+ <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Calibración de probabilidades</span></span></a>
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diff --git a/08-clasificacion-1.html b/08-clasificacion-1.html
@@ -197,7 +197,7 @@
         <li class="sidebar-item">
   <div class="sidebar-item-container"> 
   <a href="./10-clasificacion-calibracion.html" class="sidebar-item-text sidebar-link">
- <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Incertidumbre en clasificación</span></span></a>
+ <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Calibración de probabilidades</span></span></a>
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@@ -2589,14 +2589,14 @@ <h2 data-number="8.8" class="anchored" data-anchor-id="ejercicio-datos-de-diabet
             [,1]
 [1,]  0.34734306
 [2,]  1.01705003
-[3,] -0.05472933
-[4,] -0.02247144
+[3,] -0.05472932
+[4,] -0.02247145
 [5,]  0.51263183
 [6,]  0.55927497
-[7,]  0.45200703
+[7,]  0.45200700
 
 [[2]]
-[1] -0.9558302</code></pre>
+[1] -0.9558301</code></pre>
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 <p>que coinciden con los valores que obtuvimos usando regresión logística de <em>glm</em>. La única diferencia es que el algoritmo de optimización que se usa en cada caso es diferente: con <em>keras</em> utilizamos descenso en gradiente, mientras que <em>glm</em> usa Newton-Raphson.</p>

diff --git a/08-clasificacion-1_files/figure-html/unnamed-chunk-27-1.png b/08-clasificacion-1_files/figure-html/unnamed-chunk-27-1.png
diff --git a/09-clasificacion-2.html b/09-clasificacion-2.html
@@ -197,7 +197,7 @@
         <li class="sidebar-item">
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- <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Incertidumbre en clasificación</span></span></a>
+ <span class="menu-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Calibración de probabilidades</span></span></a>
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@@ -699,8 +699,8 @@ <h4 class="unnumbered anchored" data-anchor-id="ejemplo-2">Ejemplo</h4>
         &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
+ 3    0.00345     0.00448           1
+ 4    0.00406     0.00897           1
  5    0.00437     0.0135            1
  6    0.00476     0.0224            1
  7    0.00486     0.0269            1
@@ -788,7 +788,7 @@ <h4 class="unnumbered anchored" data-anchor-id="ejemplo-2">Ejemplo</h4>
   modelo     .metric .estimator .estimate
   &lt;chr&gt;      &lt;chr&gt;   &lt;chr&gt;          &lt;dbl&gt;
 1 IMC y edad roc_auc binary         0.761
-2 Todas      roc_auc binary         0.865</code></pre>
+2 Todas      roc_auc binary         0.866</code></pre>
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 <p>En este ejemplo, vemos que casi no importa qué perfil de especificidad y sensibilidad busquemos: el clasificador que usa todas las variables domina casi siempre al clasificador que sólo utiliza IMC y edad.</p>
@@ -1102,7 +1102,7 @@ <h2 data-number="9.7" class="anchored" data-anchor-id="curvas-acumuladas-de-gana
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+        <span class="nav-page-text"><span class="chapter-number">10</span>&nbsp; <span class="chapter-title">Calibración de probabilidades</span></span> <i class="bi bi-arrow-right-short"></i>
       </a>
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