Predictive Modeling Introduction Predictive Modeling Review Discriminant Analysis Distance Scoring General Linear Model Selection K Nearest Neighbors Logistic Regression Partial Least Squares Partition Trees Quantile Regression Selection Radial Basis Machine Ridge Regression Life Regression Proportional Hazards Regression Genomic BLUP Genomic Bayesian Regression XG Boost Regression Cross Validation Model Comparison Learning Curve Model Comparison Test Set Model Comparison Model Summary and Ensemble Merge Cross Validation Model Comparison Results Merge Learning Curve Model Comparison Results Recode Genotypes Transpose Tall to Wide Transpose Wide to Tall Principal Component Scoring Survival Residuals