Explore how handling class imbalance in modeling affects different classification metrics using a dataset on predicting damage from aircraft strikes with wildlife. Learn about data overview, exploratory data analysis, model building, cross-validation, sensitivity, preprocessing, and imbalance workflow. Discover techniques like numeric variable analysis, pears plot, bagtree modeling, and balancing results to improve classification performance.