Decision Tree, Supervised Learning, Python, R, Machine Learning.
in a particular feature are dominant, hence the need to balance the data set before fitting the model. Conclusion In Summary, the main aim of a decision tree, is to break down the features in the dataset one by one based on the importance to arrive at a specific decision which in most cases it’s