CIS111: Intelligent Systems and Data Mining - Bank Marketing Report

This report focuses on a data mining analysis of a bank's marketing strategies, specifically using phone calls to promote a product. The assignment involves data cleaning of a CSV file, and the development of a classification decision tree model in R studio. The dataset contains 41188 observations, with the 'y' variable indicating customer response to the product. The report details the process of splitting the data into training and testing sets, model development, and the creation of a confusion matrix to assess model accuracy. The decision tree model is used to classify customers. The report concludes with a high accuracy rate of the model, even after pruning, demonstrating the effectiveness of the data mining approach. The assignment also includes references to relevant literature and an appendix with code snippets and plots.