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Machine Learning
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MCQs on caret, prediction with motivation, regression and model and cross validation.

Machine Learning
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25 Questions

1. Backtesting is a key component of effective trading-system development.
2. Predictive analytics is same as forecasting.
3. PCA is most useful for non linear type models.
4. Which of the following can be used to impute data sets based only on information in the training set?
5. Which of the following methods are present in caret for regularized regression?
6. Which of the following shows correct relative order of importance?
7. Which of the following is correct order of working?
8. Which of the following curve analysis is conducted on each predictor for classification?
9. Which of the following model sums the importance over each boosting iteration?
10. Which of the following function can be used to maximize the minimum dissimilarities?
11. Which of the following model model include a backwards elimination feature selection routine?
12. Which of the following is one of the largest boost subclass in boosting?
13. Which of the following is a categorical outcome?
14. Which of the following function can be used to identify near zero-variance variables?
15. Which of the following method is used for trainControl resampling?
16. Which of the following expression is true?
17. Which of the following is used to assist the quantitative trader in the development?
18. Which of the following is correct use of cross validation?
19. Which of the following package tools are present in caret?
20. Which of the following function can be used to create balanced splits of the data?
21. For k cross-validation, smaller k value implies less variance.
22. Which of the following is a common error measure?
23. Which of the following argument is used to set importance values?
24. Which of the following can be used to create sub–samples using a maximum dissimilarity approach?
25. Which of the following can also be used to find new variables that are linear combinations of the original set with independent components?

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