The project was to find a suitable dataset that wasn’t used in class to create and analyze a decision tree. I found a dataset that was a combination of approved and denied loan applicants. From this project, I got more practice with decision trees and analyzing the results to make predictions. I also learned which data can and can’t be used to make a decision tree because I had to search for data that could be split. For the project, I had to identify the best minimum split, the highest probability, the lowest probability, and 4 data points that could be predicted by the tree.
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