2. If we do the standard 10 fold crossvalidation, we get 10 different models. Ho

Question

2. If we do the standard 10 fold crossvalidation, we get 10 different models.

How do we get the final model (e.g. final decision tree)?

the results for the model with the lowest error are used

the results for each of the 10 models are averaged

the results for the highest and lowest models are thrown out, and the remaining 8 models are averraged

the 10 folds are used to determine the accuracy of the classifier. The final model is run on the entire dataset

3. Which of these would be the best value for Area Under ROC (also known as AUC or Area Under the Curve)?

1.2

.5

-1.2

.8

3.14

Explanation / Answer

Answer 2:- The correct option is

the 10 folds are used to determine the accuracy of the classifier. The final model is run on the entire dataset

Answer 3:-The best value for Area Under ROC (also known as AUC or Area Under the Curve) is

0.8

Note:-Range of the Area Under ROC is

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