Data Analysis with R – Week 5 | Download for quality grades |

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Practice Quiz Total points 4 1. Question 1 When evaluating models, what is the term used to describe a situation where a model fits the training data very well but performs poorly when predictin... g new data? 1 / 1 point Small dataset Overfit Cross validation Underfit Correct In this situation, the model is said to be overfit. 2. Question 2 An underfit model is said to have which of the following? 1 / 1 point High bias High variance High complexity High generalizability Correct An underfit model has high bias that results from an oversimplified model. 3. Question 3 What does regularization introduce into a model that results in a drop in variance? 1 / 1 point [Show More]

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