What is Bias-Variance Tradeoff?
Bias/Variance Tradeoff is a concept in machine learning which refers to the problem of minimizing two major sources of errors at the same time and prevent the supervised learning algorithms from generalizing to accommodate inputs beyond the original training set. The two error sources here are: Bias Variance Sources of Error Bias Error (Underfitting): In case of underfitting, the bias is an error from a faulty assumption in the learning algorithm. This is such that…