Marketing Campaign Kaggle – The next important thing after converting categorical columns to individual functions, we have 62 columns ie. 62 features and we will definitely not train the model with these entire features because the model will suffer from the overfitting problem. So, using a feature selection technique called “Additional Classifier”, we will select only the top 10 features that influence the target variable. Additional feature selection classifier: Each feature is ranked in descending order according to the mathematical derivative, which is generated by creating a forest of each feature and the user selects the top k from the … Read the rest