How many potential predictors are recommended for an adaptive model?

Configuring an adaptive model involves selecting the potential predictors.

How many potential predictors are recommended for an adaptive model?
A . At least 100 fields to reach an acceptable level of model performance
B . All fields that have been predictive in the past
C . All available uncorrected fields
D . Up to 100 fields to limit the impact on model speed

View Answer

Answer: D

Explanation:

Up to 100 fields to limit the impact on model speed

Reference:

When configuring an adaptive model, it is recommended to select up to 100 potential predictors to limit the impact on model speed.