1. Traditional Feature Selection Algorithms such as forward selection or backward elimination are designed to select the model with the lowest validation set error.

Group of answer choices

True

False

2. A predictive model is developed on a partitoned data set. If the Root Mean Squred Error (RMSE) is significantly higher on the validation data than the training data, the most likely cause is?

Group of answer choices

Missing Data

Model Overfitting

Model Underfitting

Computer Error

Multi-collinearity

3. Which of the following techniques is most appropriate to use when developing a classification model to flag a rare class?

Group of answer choices

Dummy Variables

Oversampling

Forward Selection

Variable Rescaling

4. In a real world Data Analytics problem most of the time is generally spent on model development.

Group of answer choices

True

False