Graded Quiz: Model Refinement >> Data Analysis with Python
TOTAL POINTS 5
1.What is the output of the following code?
cross_val_predict (lr2e, x_data, y_data, cv=3)
1 point
2.What dictionary value would we use to perform a grid search to determine if normalization should be used and for testing the following values of alpha? 1,10, 100
1 point
normalize=[True,False]
3. You have a linear model; the average R^2 value on your training data is 0.5, you perform a 100th order polynomial transform on your data then use these values to train another model. After this step, your average R^2 is 0.99; which of the following comments is correct?
1 point
4.Consider the following diagram of 4 fold cross-validation. From the diagram how many folds are used for training?
1 point
5.The following is an example of what?
1 point
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