DMW CA2

Is Logistic regression a supervised machine learning algorithm?

• True

• False

Is Logistic regression mainly used for Regression?

• True

• False

Which of the following methods do we use to best fit the data in Logistic Regression?

•  Least Square Error

•  Maximum Likelihood

•  Jaccard distance

•  Both A and B

Which of the following option is true?

• A) Linear Regression errors values has to be normally distributed but in case of Logistic Regression it is not the case

• B) Logistic Regression errors values has to be normally distributed but in case of Linear Regression it is not the case

• C) Both Linear Regression and Logistic Regression error values have to be normally distributed

• D) Both Linear Regression and Logistic Regression error values have not to be normally distributed

Suppose, You applied a Logistic Regression model on a given data and got a training accuracy X and testing accuracy Y. Now, you want to add a few new features in the same data. Select the option(s) which is/are correct in such a case. Note: Consider remaining parameters are same.

• Training accuracy increases

• Training accuracy increases or remains the same

• Testing accuracy decreases

IS k-NN algorithm does more computation on test time rather than train time.

• TRUE

• FALSE

Which of the following distance metric can not be used in k-NN?

• Manhattan

• Minkowski

• JaccardE

• NONE OF THESE

Which of the following option is true about k-NN algorithm?

• It can be used for classification

• It can be used for regression

• It can be used in both classification and regression

Which of the following machine learning algorithm can be used for imputing missing values of both categorical and continuous variables?

• A) K-NN

• B) Linear Regression

• C) Logistic Regression

Which of the following will be Euclidean Distance between the two data point A(1,3) and B(2,3)?

• 1

• 2

• 4

• 8