P36.-Supervised-ML---Decision-Tree---C5.0-Entropy-Iris-Flower-

Using Entropy Criteria - Classification Model

Import Libraries and data set

EDA

Apply Label Encoding

Model Building - Building/Training Decision Tree Classifier (C5.0) using Entropy Criteria

Splitting data into training and testing dataset

C5.0 Entropy - Training the Model

C5.0 Entropy - Trained Model Accuracy

Plot the decision tree

Better visualization of Decision Tree

Validation & Testing Decision Tree Classifier (C5.0) Model

Predicting on test data

Getting the 2 way table to understand the correct and wrong predictions

C5.0 Entropy - Test Model Accuracy