Prepare a minimum 1000-word report with six (6) business analytics life cycle (CRISP-DM) phases: Context and Perspective, Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment. Your report may include the following:
Are your confidence percentages interesting? Surprising? Do the predicted target values seem reasonable and consistent with your training data? Does any one independent variable (predictor attribute) seem to be a particularly good predictor of the dependent variable (label or prediction attribute)? If so, why do you think so? Change your Logistic Regression operator to a different type of Logistic operator (for example, maybe try the Weka W-Logistic operator). Re-run your model. Consider doing some research to learn about the difference between algorithms underlying different logistic approaches. Compare your new results to the original Logistic Regression results and report any interesting findings or differences.