Arrange the following steps in the correct order for applying regularization in predictive modeling: A) Analyze the model's performance on training data, B) Choose a regularization technique, C) Evaluate the model on validation data, D) Train the model with regularization applied.

First you pick a regularization technique, like deciding on a rule to keep the model simple. Other options are incorrect because Starting with training data analysis assumes you already know how to keep the model simple; Evaluating on validation data before training is impossible because the model has not learned anything yet.