In my MIS2502 assignment, I aimed to analyze voter turnout using Decision Tree algorithms on a dataset containing demographic and historical voting data. The goal was to build a model to predict voter turnout and understand the influence of various factors. I successfully trained a Decision Tree Classifier, evaluated its performance through accuracy scores and confusion matrices, and visualized the decision-making process. The results demonstrated the model’s effectiveness and provided valuable insights into key predictors of voter turnout. This project not only improved my practical skills in data analysis and machine learning but also helped my understanding of how to apply these techniques to real-world problems.
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