La matriz de confusión
Example: La matriz de confusión ayuda a evaluar la precisión del modelo.
Definition
"La matriz de confusión" is a table used in machine learning to evaluate the performance of a classification model by comparing predicted labels against actual labels, showing true positives, false positives, true negatives, and false negatives to measure accuracy and errors.
Etymology
The term "la matriz de confusión" comes from Spanish, where "matriz" means matrix, indicating an arrangement of elements in rows and columns, and "confusión" means confusion, referring to the misclassification errors the matrix reveals. It was adapted from English 'confusion matrix,' widely used in statistics and machine learning.
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"La matriz de confusión" appears in the Vocaplus list "Spanish - Data & AI - (A1-C2) - set 1", containing 110 commonly used words.
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