Binary Classification, Confusion Matrix, Precision, Recall, F Score.
True Negative Rate (TNR), and False Negative Rate (FNR). If we have an imbalanced dataset it will affect the algorithm(As an example if you have 1s and 0s and you have 0s more than 1s like 1000 0s and 200 1s’. And you will get accuracy for 0s -> 1000/1000+200 -> 1000 / 1200 -> 83.33%. This is a