Top 350+ Solved Machine Learning (ML) MCQ Questions Answer
Q. Which of the one is true about Heteroskedasticity?
a. linear regression with varying error terms
b. b. linear regression with constant error terms
c. linear regression with zero error terms
d. none of these
Q. Which of the following assumptions do we make while deriving linear regression parameters?1. The true relationship between dependent y and predictor x is linear2. The model errors are statistically independent3. The errors are normally distributed with a 0 mean and constant standard deviation4. The predictor x is non-stochastic and is measured error-free
a. 1,2 and 3.
b. b. 1,3 and 4.
c. 1 and 3.
d. all of above.
Q. To test linear relationship of y(dependent) and x(independent) continuous variables, which of the following plot best suited?
a. scatter plot
b. b. barchart
c. histograms
d. none of these
Q. Generally, which of the following method(s) is used for predicting continuous dependent variable?1. Linear Regression2. Logistic Regression
a. 1 and 2
b. b. only 1
c. only 2
d. none of these.
Q. Suppose you are training a linear regression model. Now consider these points.1. Overfitting is more likely if we have less data2. Overfitting is more likely when the hypothesis space is small.Which of the above statement(s) are correct?
a. both are false
b. b. 1 is false and 2 is true
c. 1 is true and 2 is false
d. both are true
Q. Suppose we fit Lasso Regression to a data set, which has 100 features (X1,X2X100). Now, we rescale one of these feature by multiplying with 10 (say that feature is X1), and then refit Lasso regression with the same regularization parameter.Now, which of the following option will be correct?
a. it is more likely for x1 to be excluded from the model
b. b. it is more likely for x1 to be included in the model
c. cant say
d. none of these
Q. Which of the following is true aboutRidge or Lasso regression methods in case of feature selection?
a. ridge regression uses subset selection of features
b. b. lasso regression uses subset selection of features
c. both use subset selection of features
d. none of above
Q. We can also compute the coefficient of linear regression with the help of an analytical method called Normal Equation. Which of the following is/are true about Normal Equation?1. We dont have to choose the learning rate2. It becomes slow when number of features is very large3. No need to iterate
a. 1 and 2
b. b. 1 and 3.
c. 2 and 3.
d. 1,2 and 3.
Q. Which of the following option is true regarding Regression andCorrelation ?Note: y is dependent variable and x is independent variable.
a. the relationship is symmetric between x and y in both.
b. b. the relationship is not symmetric between x and y in both.
c. the relationship is not symmetric between x and y in case of correlation but in case of regression it is symmetri
d. the relationship is symmetric between x and y in case of correlation but in case of regression it is not symmetric.
Q. When the C parameter is set to infinite, which of the following holds true?
a. the optimal hyperplane if exists, will be the one that completely separates the data
b. the soft-margin classifier will separate the data