Advanced Database Management System - Tutorials and Notes: Machine Learning Multiple Choice Questions and Answers 21

Search Engine

Please visit, subscribe and share 10 Minutes Lectures in Computer Science

Tuesday, 10 November 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

Click here to view answer


 

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

Click here to view answer


 

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

Click here to view answer


 

**********************

Related links:

What is discriminative classification

Can SVM classify non-linearly separable data

Variance is more harmful to test error in machine learning

No comments:

Post a comment

Featured Content

Multiple choice questions in Natural Language Processing Home

MCQ in Natural Language Processing, Quiz questions with answers in NLP, Top interview questions in NLP with answers Multiple Choice Que...

All time most popular contents