MITS5509: Intelligent Systems for Analytics Project Report

This project delves into the application of data analytics in the financial market, specifically focusing on bankruptcy prediction using four classification algorithms: Support Vector Machines (SVM), Nearest Neighbor, Decision Trees, and Naive Bayes. The project utilizes the Weka data mining tool for algorithm implementation and data analysis, including the use of dashboards for data visualization and presentation. It begins with an introduction to data analytics and classification, followed by a detailed explanation of each algorithm's mathematical foundations. The project includes data sampling, model building, evaluation using confusion matrices, and prediction results. Furthermore, the project demonstrates the use of the Resample function in Weka for data preparation and presents the results in tables and screenshots. The project also includes the creation of data analytics dashboards for enhanced data understanding and clear presentation of the analysis.