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Machine Learning: Learning with Regression and trees
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Machine Learning: Learning with Regression and trees
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25 Questions

1. In practice, Line of best fit or regression line is found when _____________
2. Decision Tree is a display of an algorithm.
3. What do you expect will happen with bias and variance as you increase the size of training data?
4. Decision Trees can be used for Classification Tasks.
5. In above question what do you think which function would make p between (0,1)?
6. What will happen when you fit degree 4 polynomial in linear regression?
7. What will happen when you apply very large penalty in case of Lasso?
8. Which of the following evaluation metrics can not be applied in case of logistic regression output to compare with target?
9. Chance Nodes are represented by __________
10. Suppose Pearson correlation between V1 and V2 is zero. In such case, is it right to conclude that V1 and V2 do not have any relation between them?
11. A _________ is a decision support tool that uses a tree-like graph or model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility.
12. End Nodes are represented by __________
13. Looking at above two characteristics, which of the following option is the correct for Pearson correlation between V1 and V2? If you are given the two variables V1 and V2 and they are following below two characteristics. If V1 increases then V2 also increases - If V1 decreases then V2 behavior is unknown
14. In terms of bias and variance. Which of the following is true when you fit degree 2 polynomial?
15. Consider a following model for logistic regression: P (y =1|x, w)= g(w0 + w1x) where g(z) is the logistic function. In the above equation the P (y =1|x; w) , viewed as a function of x, that we can get by changing the parameters w. What would be the range of p in such case?
16. Decision Nodes are represented by ____________
17. Start introducing polynomial degree variables. Remove some variables
18. What is Decision Tree?
19. Which of the following option is true?
20. Function used for linear regression in R is __________
21. In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?
22. Which of the following is true regarding the logistic function for any value .
23. Choose from the following that are Decision Tree nodes?
24. Which of the following statement is true about outliers in Linear regression?
25. In syntax of linear model lm(formula,data,..), data refers to ______

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