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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. 411) Which are two techniques of Machine Learning ?
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Q. 412) Even if there are no actual supervisors learning is also based on feedback provided by the environment
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Q. 413) What does learning exactly mean?
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Q. 414) When it is necessary to allow the model to develop a generalization ability and avoid a common problem called .
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Q. 415) Techniques involve the usage of both labeled and unlabeled data is called .
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Q. 416) 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
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Q. 417) To test linear relationship of y(dependent) and x(independent) continuous variables, which of the following plot best suited?
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Q. 418) which of the following step / assumption in regression modeling impacts the trade- off between under-fitting and over-fitting the most.
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Q. 419) Can we calculate the skewness of variables based on mean and median?
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Q. 420) 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-
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