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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. 451) In SVR we try to fit the error within a certain threshold.
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Q. 452) In reinforcement learning, this feedback is usually called as .
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Q. 453) Which of the following sentence is correct?
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Q. 454) Reinforcement learning is particularly
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Q. 455) Lets say, you are working with categorical feature(s) and you have not looked at the distribution of the categorical variable in the test data. You want to apply one hot encoding (OHE) on the categorical feature(s). What challenges you may face if you have applied OHE on a categorical variable of train dataset?
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Q. 456) Which of the following sentence is FALSE regarding regression?
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Q. 457) If I am using all features of my dataset and I achieve 100% accuracy on my training set, but ~70% on validation set, what should I look out for?
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Q. 458) What is the purpose of performing cross- validation?
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Q. 459) Suppose you are using a Linear SVM classifier with 2 class classification problem. Now you have been given the following data in which some points are circled red that are representing support vectors.If you remove the following any one red points from the data. Does the decision boundary will change?
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Q. 460) Linear SVMs have no hyperparameters that need to be set by cross-validation
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