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felipegonzalez · Oct 21, 2023 · 1d6567b · 1d6567b
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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/08-clasificacion-1.html b/08-clasificacion-1.html
@@ -2611,13 +2611,13 @@ <h2 data-number="8.8" class="anchored" data-anchor-id="ejercicio-datos-de-diabet
 <div class="cell-output cell-output-stdout">
 <pre><code>[[1]]
             [,1]
-[1,]  0.34734306
+[1,]  0.34734303
 [2,]  1.01705003
-[3,] -0.05472932
+[3,] -0.05472933
 [4,] -0.02247145
 [5,]  0.51263183
 [6,]  0.55927497
-[7,]  0.45200703
+[7,]  0.45200706
 
 [[2]]
 [1] -0.9558302</code></pre>

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
@@ -723,8 +723,8 @@ <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    0.00345     0.00448           1
- 4    0.00406     0.00897           1
+ 3    0.00346     0.00448           1
+ 4    0.00407     0.00897           1
  5    0.00437     0.0135            1
  6    0.00476     0.0224            1
  7    0.00486     0.0269            1
@@ -812,7 +812,7 @@ <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         0.864</code></pre>
+2 Todas      roc_auc binary         0.865</code></pre>
 </div>
 </div>
 <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>

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