Machine Learning, Data Science, Overfitting, Underfitting.
term. This process is strictly individual — depending on the algorithm, the regularization parameters are different (for example, to reduce the regularization, the alpha for Ridge regression should be decreased, and C for SVM — increased). So you should study the parameters of the algorithm and pay