"I doubt the accuracy is calculated right?"
I run a neural network binary classification process which the performance is evaluated with an X-Validation operator (10-fold). I receive an astonishing result:
the accuracy is : 100%, but the precision = 97.2% and also the recall=97.2%!!!
The equation for calculating accuracy is: (TP+TN)/ (TP+TN+FP+FN)
the precision can be calculated as : TP/TP+FP; So if the accuracy =100%. then FP=0 and consequently, precision=100.
Do I misunderstand something? Please explain me. any help to eliminate my doubt would be appreciated.