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--- clase:iabd:pia:2eval:tema08.metricas_derivadas [2025/11/03 11:37] – creado - editor externo 127.0.0.1
+++ clase:iabd:pia:2eval:tema08.metricas_derivadas [2026/06/11 20:29] (actual) – [ROC-AUC] Lorenzo
@@ Línea 611: / Línea 611: @@
   * [[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4356897/|Disadvantages of using the area under the receiver operating characteristic curve to assess imaging tests: A discussion and proposal for an alternative approach]]
   * [[https://medium.com/analytics-vidhya/mathematics-behind-roc-auc-interpretation-e4e6f202a015|Mathematics behind ROC-AUC interpretation]] y {{ :clase:iabd:pia:2eval:mathematics_behind_roc-auc_interpretation.pdf |Mathematics behind ROC-AUC interpretation.pdf}}: Demostración de que ''ROC-AUC=P(y_score_true>Y_score_false)''
-  * {{ :clase:iabd:pia:2eval:auc_a_misleading_measure_of_the_performance_of_predictive_distribution_models.pdf |AUC: A misleading measure of the performance of predictive distribution models}}
+  * {{:clase:iabd:pia:2eval:auc_a_misleading_measure_of_the_performance_of_predictive_distribution_models.pdf |AUC: A misleading measure of the performance of predictive distribution models}}
+  * {{:clase:iabd:pia:2eval:measuring_classifier_performance-a_coherent_alternative_to_the_area_under_the_roc_curve.pdf |Measuring classifier performance: a coherent alternative to the area under the ROC curve}}
   * Cálculo del mejor Threshold:
     * [[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5470053/|Defining an Optimal Cut-Point Value in ROC Analysis: An Alternative Approach]]