Q. Function used for linear regression in R is __________
✅ Correct Answer: (A)
lm(formula, data)
Machine Learning (ML) MCQs | Page - 60
Dear candidates you will find MCQ questions of Machine Learning (ML) here. Learn these questions and prepare yourself for coming examinations and interviews. You can check the right answer of any question by clicking on any option or by clicking view answer button.
Q. Features being classified is independent of each other in Naïve Bayes Classifier
✅ Correct Answer: (B)
true
Q. Features being classified is __________ of each other in Naïve Bayes Classifier
✅ Correct Answer: (A)
Independent
Q. Bayes’ theorem describes the probability of an event, based on prior knowledge of conditions that might be related to the event.
✅ Correct Answer: (A)
True
Q. Gaussian distribution when plotted, gives a bell shaped curve which is symmetric about the _______ of the feature values.
✅ Correct Answer: (A)
Mean
Q. SVMs directly give us the posterior probabilities P(y = 1jx) and P(y = ?1jx)
✅ Correct Answer: (B)
false
Q. In a linear regression problem, we are using “R-squared” to measure goodness-of-fit. We add a feature in linear regression model and retrain the same model.Which of the following option is true?
✅ Correct Answer: (C)
Individually R squared cannot tell about variable importance. We can’t say anything about it right now.
Q. Which of the following is true about “Ridge” or “Lasso” regression methods in case of feature selection?
✅ Correct Answer: (B)
Lasso regression uses subset selection of features
Q. Which of the following statement(s) can be true post adding a variable in a linear regression model?1. R-Squared and Adjusted R-squared both increase2. R-Squared increases and Adjusted R-squared decreases3. R-Squared decreases and Adjusted R-squared decreases4. R-Squared decreases and Adjusted R-squared increases
✅ Correct Answer: (A)
1 and 2
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