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 samples
  • f1 is a metric that combines precision and recall (mean of the 2 numbers)