11. How to select best hyperparameters in tree based models?
12. If TP=9 FP=6 FN=26 TN=70 then Error rate will be
13. scikit-learn also provides a class for per-sample normalization, Normalizer. It can apply . . . . . . . . to each element of a dataset
14. This supervised learning technique can process both numeric and categorical input attributes.
15. Choose the correct statement with respect to 'confidence' metric in association rules
16. Common deep learning applications / problems can also be solved using . . . . . . . .
17. Of the Following Examples, Which would you address using an supervised learning Algorithm?
18. Given a frequent itemset L, If |L| = k, then there are
19. 100 people are at party. Given data gives information about how many wear pink or not, and if a man or not. Imagine a pink wearing guest leaves, was it a man?
20. Suppose, you got a situation where you find that your linear regression model is under fitting the data. In such situation which of the following options would you consider?
1. I will add more variables
2. I will start introducing polynomial degree variables
3. I will remove some variables
1. I will add more variables
2. I will start introducing polynomial degree variables
3. I will remove some variables
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