"""
Import the DecisionTreeClassifier model.
"""
#Import the DecisionTreeClassifier
from sklearn.tree import DecisionTreeClassifier
import pandas as pd
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"""
Import the Zoo Dataset
"""
import numpy as np
from pprint import pprint
#Import the dataset and define the feature as well as the target datasets / columns#
dataset = pd.read_csv('zoo_data.txt',
                      names=['animal_name','hair','feathers','eggs','milk',
                                                   'airbone','aquatic','predator','toothed','backbone',
                                                  'breathes','venomous','fins','legs','tail','domestic','catsize','class',])#Import all columns omitting the fist which consists the names of the animals
#We drop the animal names since this is not a good feature to split the data on
dataset=dataset.drop('animal_name',axis=1)