La matrice de confusion
Example: La matrice de confusion permet d'évaluer la performance du modèle.
Definition
"La matrice de confusion" is a table used in data science and artificial intelligence to evaluate the performance of a classification model by showing the counts of true positive, true negative, false positive, and false negative predictions, helping to understand errors and accuracy.
Etymology
The term "la matrice de confusion" comes from French, where 'matrice' means 'matrix' and 'confusion' refers to the mixing or misclassification of categories. It literally describes a grid that displays the confusion between predicted and actual classes.
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"La matrice de confusion" appears in the Vocaplus list "French - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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the confusion matrix