Machine Learning, Data Science, Artificial Intelligence.
data. Bias Bias is related to the error of train set. If error (RSS) of train set is high then it’s called high bias or if low then it’s called low bias. If training set error is high then data under-fitted. Variance Variance is related to the error (RSS) of test set (How big is the Test set error