…r n in n_features:
vectorizer.set_params(stop_words=stop_words, max_features=n, ngram_range=ngram_range)
checker_pipeline = Pipeline([
…fication and regression. In both cases the cost functions try to find most homogeneous branches, or branches having groups with similar responses. This makes sense we can be more sure that a test data input will follow a certain path.
Consider the earlier example of tree learned from titanic dataset. In the first split or the root, all attributes/features are considered and the training data is divided into groups based on this split. We have 3 features, so will have …