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y_score=np.random.rand(len(y_test))):.3f}") ROC-AUC for train set : 0.501 ROC-AUC for validation set : 0.499 ROC-AUC for test set : 0.501 Let’s assume we are satisfied for now with our model and our notebook. This is where amateur Data Scientists would stop. So how do we make the next step and