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Java implementation of CallGraph
ML supervised learning
This project applies a Decision Tree classifier to classify individuals in fraud detection and analyze factors influencing high sales in a cloth manufacturing company. It involves data preprocessing, model training, and feature importance evaluation. The model's performance is visualized through decision tree plots.
Used the Decision Tree and Random Forest algorithms to ace this project