Sentences with SUPPORT-VECTOR-MACHINE
Check out our example sentences below to help you understand the context.Sentences
1
"A support vector machine is a type of machine learning algorithm used for classification and regression analysis."
2
"The support vector machine algorithm finds the best decision boundary between different classes in a dataset."
3
"One advantage of support vector machines is their robustness against overfitting."
4
"A support vector machine requires labeled training data to learn from."
5
"The hyperplane in a support vector machine represents the decision boundary."
6
"Kernel functions can be used in support vector machines to handle non-linear decision boundaries."
7
"The support vector machine algorithm aims to maximize the margin between different classes."
8
"In support vector machines, support vectors are the data points closest to the decision boundary."
9
"The training process of a support vector machine involves finding the optimal hyperplane."
10
"One disadvantage of support vector machines is their high computational complexity."
11
"The performance of a support vector machine heavily relies on the quality of the training data."
