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P4 metric enables performance evaluation o … P4 metric enables performance evaluation of the binary classifier.It is calculated from precision, recall, specificity and NPV (negative predictive value).P4 is designed in similar way to F1 metric, however addressing the criticisms leveled against F1. It may be perceived as its extension. Like the other known metrics, P4 is a function of: TP (true positives), TN (true negatives), FP (false positives), FN (false negatives).P (false positives), FN (false negatives).
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rdfs:comment |
P4 metric enables performance evaluation o … P4 metric enables performance evaluation of the binary classifier.It is calculated from precision, recall, specificity and NPV (negative predictive value).P4 is designed in similar way to F1 metric, however addressing the criticisms leveled against F1. It may be perceived as its extension. Like the other known metrics, P4 is a function of: TP (true positives), TN (true negatives), FP (false positives), FN (false negatives).P (false positives), FN (false negatives).
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rdfs:label |
P4-metric
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