Author: Tonmoy Talukder
CS Undergrad, AUST, Dhaka 1208, Bangladesh
- One-hot Encoding
- Decision Tree Classification
- Data Transformation
- Cross-Validation
- Grid Search
- Tree diagram of the Decision Tree
- Confusion Matrix, Classification report, and ROC-AUC
- Explaining accuracy, precision, recall, f1 score
Model Result:
Model is saying 90.85% customers will churn.
About The Model:
We are getting the Precision value from the model is 7.0 out of 10. What should be more near to 10. The Accuracy of the model is 90.85%. The accuracy rate is good enough but the precision value should be greater than 8 then we can say this model is pretty good, but the model is accurately resulting but the precision is not satisfactory.