Unit Outlines：
◆ Linear Models Review
。Linear Regression vs. Logistic Regression
。Modeling and Predicting Process
。Model Accuracy Measures
◆ Model Accuracy of Logistic Regression
。Predictions (Predicted Probability)
。The Classified Distribution of Predicted Probability (DPP)
。Threshold and Confusion Matrix
。Accuracy, Sensitivity and Specificity
。ROC and AUC
◆ From Prediction to Decision
。Optimal Strategy for Maximal Expected Payoff
。Confusion Matrix and Payoff Matrix
。Cutoff to Take Action
。Simulation for Optimal Cutoff
。Interactive Simulation in R
Unit Notebook：
◆ UNIT11A : Distribution of Predicted Probability ( unit11A.html )
◆ UNIT11B : Model Prediction vs. Business Decision ( unit11B.html )
Simulation Codes：
◆ Classified DPP Simulator( enDPPSIM.R )
◆ Interactive Cutoff Simulator ( Sim11B.R )
Google Drive：
◆ Course Material : [ ~/ib533/ ]
Unit11 Assignment： Due: 2022/12/11 (Sun.) 23:59
Personal Assignment:
Finish the exercises in unit11A & unit11B, knit the html and
with filename “<Student-ID>_unit11A.html”
with filename “<Student-ID>_unit11B.html”
參考連結：
◆ John Hopkins: R Programming online course
◆ John Hopkins: R Programming eBook
◆ Harvard: Data Science ebook
◆ Week07c Video Recording