MIS2502 Extra Credit Assignment
For this extra credit assignment, I found a new dataset on the internet suitable for Jupyter Notebook and created a Decision Tree analysis based on that data. This dataset predicts whether a customer owns a laptop, containing a range of demographic and economic factors such as age, gender, region, occupation, and income. I experimented with different values for the minimum split, to find a balance between complexity and risk of overfitting. With the Decision Tree model created, I conducted an analysis to identify nodes with the highest and lowest probabilities. This assignment overall involved carefully examining data, and determining the right values and minimum split to use to ensure that the data is displayed properly.