Top 350+ Solved Machine Learning (ML) MCQ Questions Answer
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. it is more likely for x1 to be included in the model
c. cant say
d. none of these
Q. Which of the following metrics can be used for evaluating regression models?i) R Squaredii) Adjusted R Squarediii) F Statisticsiv) RMSE / MSE / MAE
a. ii and iv
b. i and ii
c. ii, iii and iv
d. i, ii, iii and iv
Q. In syntax of linear model lm(formula,data,..), data refers to
a. matrix
b. vector
c. array
d. list
Q. Which of the following methods do we use to find the best fit line for data in Linear Regression?
a. least square error
b. maximum likelihood
c. logarithmic loss
d. both a and b
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. 1 is false and 2 is true
c. 1 is true and 2 is false
d. both are true
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. 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. 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. In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?
a. by 1
b. no change
c. by intercept
d. by its slope
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. only 1
c. only 2
d. none of these.
Q. The effectiveness of an SVM depends upon:
a. selection of ke
b. kernel param
c. soft margin pa
d. all of the abov