Hi @larsmans , thanks again. I have the book, I also found 3 loss functions for binary classification in this site : http://fa.bianp.net/blog/tag/loss-function.html

They are,
1) zero_one: `zero_one_loss(y_true, y_pred)`
2) hinge : `max(0, 1-(y_pred * y_true))`
3) logistic_log: `log(1+exp(y_pred * y_true))` or `log` which is adjusted to cross-entropy if multi-class is the problem at hand