Assessing Your Predictive Model With the Performance Indicators

Predictive model performance indicators help you assess the performance and robustness of your predictive model.

You can check the performance and robustness of your predictive model using several performance indicators. The indicators available depend on the type of predictive model you have set up:

Type of Predictive Model	Performance Indicator
Classification predictive model	Predictive Power Prediction Confidence Influencer Count Record Count Classification Rate Area Under the ROC Curve (AUC) Gini Index
Regression predictive model	Root Mean Squared Error (RMSE) Prediction Confidence Influencer Count Record Count Error Mean Error Standard Deviation Maximum Error
Time Series predictive model	Expected MAPE Influencer Count Record Count

Type of Predictive Model

Performance Indicator

Classification predictive model

Predictive Power

Prediction Confidence

Influencer Count

Record Count

Classification Rate

Area Under the ROC Curve (AUC)

Gini Index

Regression predictive model

Root Mean Squared Error (RMSE)