This function calculates log loss/cross-entropy loss for binary models. NOTE: when result is 0.69315, the classification is neutral; it assigns equal probability to both classes.
loglossBinary(tag, score, eps = 0.000000000000001)Vector. Real known label
Vector. Predicted value or model's result
Numeric. Epsilon value
Other Calculus: ROC, conf_mat,
corr, deg2num,
dist2d, errors,
mae, mape,
model_metrics, mse,
quants, rmse,
rsqa, rsq