The purpose of this project was to test, analyze, and experiment with a defined dataset in the real world and to discover the use of machine learning and data mining to solve a classification problem. A data collection has been given to continue with the project. From this dataset, models have been developed to test the available machine learning algorithms. After a detailed analysis of the available algorithms and data examination, it was obvious that the challenge comes under both the linear model solver and the tree learning algorithms. Weka was used for visualization purposes because it offers a general-purpose frame-work for automated classification, clustering, and function selection – typical problems with data mining. The primary purpose of this project is to build and evaluate a data driven model utilizing appropriate tools and libraries such that it behaves well for unseen data.

Team Members

• Pubudu Premathilaka
• Suneth Samarasinghe
• Wishma Herath