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Machine Learning MCQs with answers Page - 5
Dear candidates you will find MCQ questions of Machine Learning 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. What is the approach of basic algorithm for decision tree induction?
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Q. Can we extract knowledge without apply feature selection
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Q. Suppose there are 25 base classifiers. Each classifier has error rates of e = 0.35. Suppose you are using averaging as ensemble technique. What will be the probabilities that ensemble of above 25 classifiers will make a wrong prediction? Note: All classifiers are independent of each other
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Q. When the number of classes is large Gini index is not a good choice.
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Q. Data used to build a data mining model.
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Q. This technique associates a conditional probability value with each data instance.
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Q. Computers are best at learning
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Q. what is Feature scaling done before applying K-Mean algorithm?
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