Question
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
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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