Metrics definitionsΒΆ
Accuracy
is the number of correct predictions made as a ratio of all predictions made.Precision
is the number of correct positive results divided by the number of positive results predicted by the classifier.Recall
is the number of correct positive results divided by the number of all relevant samplesf1
is a metric that combines precision and recall (mean of the 2 numbers)