Question: Build a C5.0 model using the training data set that predicts Approval using Debt to Income Ratio , FICO Score , and Request Amount .

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

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