View the Predictors overview tab to monitor the performance of individual predictors across all the models in the Adaptive Decision Manager (ADM) server. Check the number of models where the predictor is active or inactive. Identify which predictors are never used or are used often. This kind of information can be useful when you design new models or want to verify the newly introduced predictors.
You can use the following statistics to analyze predictor performance:
# Models active - Provides an overview of active predictors based on the number of models.
# Models inactive - Provides an overview of inactive predictors based on the number of models.
Minimum performance (in %) - Provides an overview of predictors based on the lowest predictive performance.
Even predictors with low performance add value when they are active in any of the models. You can investigate such predictors to check how many missing values they have; otherwise, they might not require any other remedial action.
Maximum performance (in %) - Provides an overview of predictors based on the highest predictive performance.
Average performance (in %) - Provides an overview of predictors based on the average predictive performance.