Evaluated Models

The performance of evaluated models is presented using metrics such as testing scores, Confidence Scores, and Feature Engineering Methods. The results of classification and regression models are benchmarked against basic models like logistic regression and linear regression, respectively. For instance, the performance of an Extreme Gradient Boosting (XGBoost) classification model would be compared to that of a logistic regression model.