Support Vector Machine Machine Learning Multiple Choice Questions is very important topic for the Machine Learning practise.
So let’s start Machine Learning Multiple Choice Questions PDF
1.support vector machines is ______
ANSWER=C) Supervised Machine Learning
Explain:- support vector machines are Supervised Machine Learning
2.SVM stands for________
ANSWER= B) support vector networks
Explain:- SVM stands for support vector networks
3. ______ cannot learn directly learned.
ANSWER= C) Hyperparameters
Explain:- Hyperparameters cannot learn directly learned.
4. Naive Bayes classifiers are a collection of classification algorithms based on____
ANSWER= B) Bayes Therom
Explain:- Naive Bayes classifiers are a collection of classification algorithms based on Bayes Therom
5. Feature matrix contains all the vectors vector consists of the value of________
ANSWER= B) dependent features
Explain:- Feature matrix contains all the vectors vector consists of the value of dependent features.
6. ____is used to learn a linear classifier to classify a non-linear dataset
ANSWER= C) kernel trick
Explain:-kernel trick is used to learn a linear classifier to classify a non-linear dataset