Evaluation of Binary Classifiers
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Area Under the Curve
Available measures
Area under the curve
Confusion matrix
Measures by threshold
Tidy output for measures
Confusion measures.
Derived measures.
Named logical to character
Repeat 0
Evaluates the performance of binary classifiers. Computes confusion measures (TP, TN, FP, FN), derived measures (TPR, FDR, accuracy, F1, DOR, ..), and area under the curve. Outputs are well suited for nested dataframes.
Useful links