Accuracy, Machine Learning, Performance, Mathematics, Model.
to negative class. So it can be understood by these 4 points. True Positive(TP): Values that are actually positive and predicted positive. False Positive(FP): Values that are actually negative but predicted to positive. False Negative(FN): Values that are actually positive but predicted to