Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Decile Calibration Plot

The video tutorial discusses calibration in predictive modeling, focusing on the agreement between observed outcomes and predictions. It explains how to use SAS code to create calibration plots, including decile calibration plots, and compute mean predicted probabilities and confidence intervals. The tutorial also covers using proc sgplot for visualization and evaluating the calibration of models, highlighting the importance of aligning predicted probabilities with observed outcomes.

What does calibration in a model refer to?

• The complexity of the model

• The speed of model processing

• The agreement between observed outcomes and predictions

• The accuracy of predictions

Which SAS procedure is used to create a calibration plot?

• PROC RANK

• PROC MEANS

• PROC SGPLOT

• PROC LOGISTIC

What is the purpose of using PROC RANK in the SAS code?

• To compute mean predicted probabilities

• To identify deciles of predicted probabilities

• To visualize the calibration plot

• To save predicted probabilities

What does the PROC MEANS procedure compute in the context of calibration?

• The median of predicted probabilities

• The total number of predictions

• The mean predicted probability and empirical proportions

• The variance of predicted probabilities

What is the role of confidence intervals in the calibration process?

• To determine the speed of the model

• To assess the accuracy of predictions

• To provide a range for predicted probabilities

• To evaluate the model's complexity

Which SAS procedure is used to visualize the calibration plot?

• PROC RANK

• PROC MEANS

• PROC LOGISTIC

• PROC SGPLOT

What indicates a lack of good calibration in the plot?

• The blue line is below the gray line

• The blue line is thicker than the gray line

• The blue line is above the gray line

• The blue line is not aligned with the gray line