Hi Team,

When we develop predictive or models in pega we should have clean data( feature engineering and handling outliers, imbalance problems take care of overfitting and few more things) But we have an advantage in python models where we can apply cross-validation and hyperparametertunning and few more options.

Everything has its own advantages in terms of building the model.In Pega we can build the model so easy that we need not write any code but for python, ou have other options as mentioned above.

Regards

Prasanth