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Machine Learning (ML) MCQs: 623 Questions & Answers in Engineering

623 Machine Learning (ML) MCQs in Engineering with answers & explanations. Page 9. Practice objective questions for competitive exams, interviews & self-asse… Use the answer toggle below to show or hide all solutions, tap an option to check one question, or open a question for its own page.

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Machine Learning (ML) MCQs: 623 Questions & Answers in Engineering

Which of the following is not a kernel method in SVM?

During the treatement of cancer patients , the doctor needs to be very careful about which patients need to be given chemotherapy.Which metric should we use in order to decide the patients who should given chemotherapy?

Which one of the following is suitable? 1. When the hypothsis space is richer, overfitting is more likely. 2. when the feature space is larger , overfitting is more likely.

Which of the following is a categorical data?

The soft margin SVM is more preferred than the hard-margin SVM when-

In SVM which has quadratic kernel function of polynomial degree 2 that has slack variable C as one hyper paramenter. What would happen if we use very large value for C

Which of the following is true about SVM? 1. Kernel function map low dimensional data to high dimensional space. 2. It is a similarity Function

In SVM, RBF kernel with appropriate parameters to perform binary classification where the data is non-linearly seperable. In this scenario

What is the Accuracy in percentage based on following confusion matrix of three class classification. Confusion Matrix C= [14 0 0] [ 1 15 0] [ 0 0 6]

Which of the following method is used for multiclass classification?

A machine learning problem involves four attributes plus a class. The attributes have 3, 2, 2, and 2 possible values each. The class has 3 possible values. How many maximum possible different examples are there?

How can we best represent ‘support’ for the following association rule: “If X and Y, then Z”.

Choose the correct statement with respect to ‘confidence’ metric in association rules

What are tree based classifiers?

What is gini index?

Which of the following sentences are correct in reference to Information gain? a. It is biased towards single-valued attributes b. It is biased towards multi-valued attributes c. ID3 makes use of information gain d. The approact used by ID3 is greedy

Multivariate split is where the partitioning of tuples is based on a combination of attributes rather than on a single attribute.

Gain ratio tends to prefer unbalanced splits in which one partition is much smaller than the other

The gini index is not biased towards multivalued attributed.

When the number of classes is large Gini index is not a good choice.

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