Churn Model by ussing 3 non-interpretable & 1 interpretable model non-interpretable - to predict customers who will churn. You can’t use the model to identify the important features for churn. That’s because PCA usually creates components which are not easy to interpret. Therefore, build another model with the main objective of identifying important predictor attributes which help the business understand indicators of churn uthus the interpretable model.