Machine Learning (ML) MCQs | Page - 28
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.
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Q. Can a model trained for item based similarity also choose from a given set of items?
M
Q. What are common feature selection methods in regression task?
M
Q. The parameter allows specifying the percentage of elements to put into the test/training set
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Q. In many classification problems, the target is made up of categorical labels which cannot immediately be processed by any algorithm.
M
Q. adopts a dictionary-oriented approach, associating to each category label a progressive integer number.
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Q. If Linear regression model perfectly first i.e., train error is zero, then
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Q. Which of the following metrics can be used for evaluating regression models?
i) R Squared
ii) Adjusted R Squared
iii) F Statistics
iv) RMSE / MSE / MAE
M
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?
M
Q. Function used for linear regression in R is
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