Build a C5.0 model using the training data set that predicts Approval using Debt to Income Ratio, FICO Score, and Request Amount. Specify a minimum of 1,000 cases per terminal node. Visualize the decision tree. Describe the first few splits in the decision tree.

Answer the following using python 

Training dataset is in excel below

https://drive.google.com/file/d/1pi2WhlrAYHm1t1_RNkbgY2KJEuA-GUwU/view?usp=sharing

Answer rating: 100% (QA)

ANSWER To build a C50 decision tree model using the provided training dataset and predict Approval b... View the full answer