Ensembling and LightGBM Classifier Hyperparameters basics

What is a Decision Tree ?

Decision Trees (DTs) are a non-parametric supervised learning method used for classification and regression. The goal is to create a model that predicts the value of a target variable by learning simple decision rules inferred from the data features.

LightGBM Classifier Params & Hyperparameters

1.Task: This param is used to determine the action to be executed. Default value is ‘train’. Some other possible values include: predict, refit, save_binary etc.

For better understanding LightGBM Regularisation



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