Binary Classification, Confusion Matrix, Precision, Recall, F Score.
formulas. F1 Score— Here the focus is on both False positives and False negatives and both important. F-Score = (1+β²) (Precision * Recall) / β²(Precision + Recall) // Whenever your False Positive and False Negative are important, we select this β = 1 F-Score = (1+1²) (Precision * Recall) /