Balance_DataSet

Steps involved :-

1. Downloading Balance Scale Data Set employed for validating the model
2. Splitting the Balance Scale Data Set into training and testing data .
3. Building function for decision tree classifier based on information gain and training the classifier on training data .
4. Implementing classification on testing data .
5. Evaluating the prediction results with evaluation methods including confusion matrix and accuracy .
6. HyperParameter Tuning in Decision Tree and finding the best accuracy.