How to identify feature names from indices in a decision tree using scikit-learn’s CountVectorizer? I have the following data for training a model to detect whether a sentence is about: a cat or dog NOT about a cat or dog I ran the following code to train a DecisionTreeClassifier() model then view the tree visualisation: import numpy as np from numpy.random import seed import random as rn import os import pandas as pd seed_num = 1 os.environ['PYTHONHASHSEED'] = '0' np.random.seed(seed_num) rn.seed(seed_num) from...