I have a huge amount of data and I want to calculate my false positive and false negative. Is there a software that can help me determine it?
Yes, you can use
confusion_matrix. To explicitly extract the false positives and negatives, you can do
from sklearn.metrics import confusion_matrix y_true = [0, 1, 0, 1] y_pred = [1, 1, 1, 0] tn, fp, fn, tp = confusion_matrix(y_true, y_pred).ravel()