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Machine Learning MCQ Questions: Practice and Test Your Knowledge

Ace your exams, tests, interviews, and quizzes with our comprehensive set of Machine Learning Multiple Choice Questions (MCQs). Covering essential topics in Machine Learning, enhance your understanding and boost your performance. Start practicing now Page-5 section-1

Each section contains 100 MCQs on Machine Learning .
41
What would you do in PCA to get the same projection as SVD?
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Answer & Solution
Answer: Option A
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42
The . . . . . . . . of the hyperplane depends upon the number of features.
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Answer & Solution
Answer: Option A
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43
What is the approach of basic algorithm for decision tree induction?
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Answer & Solution
Answer: Option A
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44
Can we extract knowledge without apply feature selection
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Answer & Solution
Answer: Option A
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45
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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Answer & Solution
Answer: Option B
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46
When the number of classes is large Gini index is not a good choice.
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Answer & Solution
Answer: Option A
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47
Data used to build a data mining model.
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Answer & Solution
Answer: Option A
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48
This technique associates a conditional probability value with each data instance.
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Answer & Solution
Answer: Option B
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49
What is the purpose of the Kernel Trick?
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Answer & Solution
Answer: Option A
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50
Having multiple perceptrons can actually solve the XOR problem satisfactorily: this is because each perceptron can partition off a linear part of the space itself, and they can then combine their results.
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Answer & Solution
Answer: Option C
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