Tuesday, November 10, 2020

Machine Learning Multiple Choice Questions and Answers 21

Top 3 Machine Learning Quiz Questions with Answers explanation, Interview questions on machine learning, quiz questions for data scientist answers explained, machine learning exam questions, question bank in machine learning, k-means, elbow method, decision tree, entropy calculation

Machine learning MCQ - Set 21


1. In terms of the bias-variance trade-off, which of the following is substantially more harmful to the test error than the training error?

a) Bias

b) Loss

c) Variance

d) Risk

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2. Which of the following learning algorithms will return a classifier if the training data is not linearly separable?

a) Hard margin SVM

b) Soft margin SVM

c) Perceptron

d) Naïve bayes

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3. Modeling a classification rule directly from the input data like in logistic regression fits which of the following classification methods?

a) Discriminative classification

b) Generative classification

c) Probabilistic classification

d) All of the above

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Related links:

What is discriminative classification

Can SVM classify non-linearly separable data

Variance is more harmful to test error in machine learning

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