Machine Learning TP, FP, TN, FN

T Table true, F table false. Table P positive, N Table negative. Here T, F represents the prediction result is correct, P, N represents the prediction result.
Inherent:
TP real cases - the real situation as a positive example, predicted the situation as a positive example;
TN real counterexample - the truth is counter-example, predicted the situation as negative;
FP false positive cases - the truth is counter-example, predicted the situation as a positive example ;
FN false counter-example - the truth as a positive example, predicted the situation as negative.