Metrics definitions

• 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)