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1-Classification is the prediction of a numerical outcome Select one: True False

2-Classification is the prediction of a numerical outcome Select one: True False

3-The problem of overfitting occurs due to both patters and Noice Select one: True False

4-Neural Networks have high predictive accuracy Select one: True False

5-K-Nearest Neighbor and Nave Bayes are very similar types of classification prediction methods Select one: True False

6-Neural Networks are used for classification and prediction Select one: True False

7-The is measured by looking at the differences between accuracy predicted and actual outcomes Select one: True False

8-A Strength of the Nave Bayes Algorithm is that is is simple Select one: True False

9-An activity that analysts do not engage in is descriptive analysis Select one: True False

10-K-Nearest Neighbor and Nave Bayes are very similar types of classification prediction methods Select one: True False

11-K-Nearest Neighbor and Nave Bayes are very similar types of classification prediction methods Select one: True False

12-A weakness of k-Nearest Neighbor Algorithm is that it Performs well where there is a large training database, or many combinations of predictor variables Select one: True False

13-The accuracy is measured by looking at the differences between predicted and actual outcomes Select one: True False

14-Classification and prediction and terms that mean the same Select one: True False

15-Classification and Prediction Trees can be used to partitioning of individual variables Select one: True False

16-Neural Networks have very limited application Select one: True False

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