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Classical Machine Learning

Classification Metrics

Change a threshold to explore confusion matrices and ROC.

ROC curveROC curve000.250.250.50.50.750.7511ROC · AUC 0.8125Point 1: (0.25, 0.75), class 1
Confusion matrix · 2 × 2
Precision = TP/(TP+FP); Recall = TP/(TP+FN)Accuracy 0.75 · precision 0.75 · recall 0.75 · specificity 0.75 · F1 0.75

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