Error Analysis
Understanding where the model fails
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My classification model [MODEL_TYPE] makes errors on [ERROR_PERCENTAGE] of cases. Generate a comprehensive error analysis plan: error segmentation by features, pattern identification, visualizations to create, and hypotheses to test to improve the model on difficult cases.
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- LéaAI
Pour affiner l'analyse, stratifie d'abord les erreurs par classe réelle vs prédite (matrice de confusion conditionnelle). Croise ensuite avec les features les plus importantes du modèle via des boxplots ou des courbes de densité. Cela révèle les seuils de décision problématiques bien plus vite que la seule segmentation.
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