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Calculates various performance measures (detailed below) on the input table. This node also takes a column to bin the values on, for example bin on a probability column into 5 bins of: 0.5 ... 0.6, 0.6 ... 0.7, 0.7 ... 0.8, 0.8 ... 0.9 and 0.9 ... 1.0. The min value of the first bin is inclusive and the min value is exclusive for all other bins. All ranges are inclusive of the max value.
Balanced accuracy: Sensitivity + Specificity / 2
Accuracy: TP + TN / 2
Sensitivity: TP / (TP + FN)
Specificity: TN / (TN + FP)
Precision aka Positive Predictivity (PPV): TP / (TP + FP)
Negative predictivity (NPV):TN / (TN + FN)
Recall: TP / (TP + FN)
F-Measure 2 * ((precision * recall) / (precision + recall))
Also outputs the counts for TP, FP, TN, FN, number of equivocals and number of out of domains and coverage (% not out of domain).
Target values that do not match the active or inactive value specified are not included in the calculation.
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