Regularisation in logistic regression is a method capable of solving the issue of overfitting a model. This technique is advantageous when a huge number of parameters exist and these parameters help forecast the target function. In these cases, it is challenging to set features for manual operation and features for automatic operation. Hence, the regularized logistic regression helps you determine pertinent parameters and solve the overfitting issue.