Review of Modeling Results
Explore how to review and compare modeling results for a binary classification project. Learn to interpret ROC AUC scores, consider business implications, and decide on final model delivery. Understand feature engineering approaches and model ensembling for improved performance. Gain insights on communicating results effectively for diverse audiences.
In order to develop a binary classification model to meet the business requirements of our client, we have now tried several modeling techniques with varying degrees of success. In the end, we'd like to choose the model with the best performance to do further analyses on and present to our client. However, it is also good to communicate the other ...