Data-Science-Group-Project

This data science project focuses on building a Salary Prediction Classification Model using RapidMiner to determine if individuals earn above or below 50k based on demographic and professional attributes. It explores multiple machine learning algorithms like Decision Trees, Random Forest, KNN, and Neural Networks and also performing data preprocessing such as One Hot Encoding and Z normalization. Includes comparative performance metrics like ROC curves, AUC scores, and confusion matrices to evaluate model precision and recall across all tested methods.