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confusion matrix

pl: confusion matrices

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accuracy precision recall false positive false negative classification prediction machine learning statistics probability binary sensitivity specificity type I error threshold classifier model evaluation performance metric validation testing training dataset label category class matrix table grid diagonal bias variance overfitting underfitting cross validation hyperparameter algorithm neural network decision tree random forest logistic regression inference score weight feature sample observation distribution likelihood posterior prior optimization loss function cost function gradient descent epoch learning rate regularization dropout activation function softmax sigmoid

Last Updated: May 2026•Report an Error

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