This function calculates Loggarithmic Loss for Binary Models You can define a seed to get the same results every time, but has a default value. You can prevent it from printing the split counter result.
loglossBinary(tag, score, eps = 1e-15)
Vector. Real known label
Vector. Predicted value or model's result
Numeric. Epsilon value