11. Which of the following statement is true about outliers in Linear regression?
12. Naive Bayes classifiers is . . . . . . . . Learning
13. The distance between two points calculated using Pythagoras theorem is
14. Features being classified is independent of each other in Nave Bayes Classifier
15. What does learning exactly mean?
16. What do you mean by a hard margin?
17. Suppose your model is demonstrating high variance across the different training sets. Which of the following is NOT valid way to try and reduce the variance?
18. The problem of finding hidden structure in unlabeled data is called . . . . . . . .
19. what is the function of 'Supervised Learning'?
20. Which of the following is true about bagging?
1. Bagging can be parallel
2. The aim of bagging is to reduce bias not variance
3. Bagging helps in reducing overfitting
1. Bagging can be parallel
2. The aim of bagging is to reduce bias not variance
3. Bagging helps in reducing overfitting
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