Regularization, Overfitting, Dropout Regularization, Early Stopping, Elastic Net.
features you reduce the overfitting effect. Another parameter closely related is subsample, where you specify the ratio of samples used. Setting the learning rate eta to a lower number helps too. And gamma is used to control the minimum loss reduction needed for a split. In logistic regression and