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

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.