"...The standard SVM takes a set of input data and predicts, for each given input, which of two possible classes the input is a member of, which makes the SVM a non-probabilistic binary linear classifier. Given a set of training examples, each marked as belonging to one of two categories, an SVM training algorithm builds a model that assigns new examples into one category or the other. An SVM model is a representation of the examples as points in space, mapped so that the examples of the separate categories are divided by a clear gap that is as wide as possible. New examples are then mapped into that same space and predicted to belong to a category based on which side of the gap they fall on."
Synonyms
support-vector-machinesStats
created |
2 years ago |
viewed |
12 times |
active |
1 year ago |
editors |
1 |
Recent Hot Answers
How does a Support Vector Machine (SVM) work?Why is svm not so good as decision tree on the same data?
When does Naive Bayes perform better than SVM?
Order of Support Vectors, and how to reduce them
Why can the margin of SVM be approximated by 1?
more »
Related Tags
machine-learning × 144classification × 67
kernel × 41
libsvm × 37
cross-validation × 32
r × 26
feature-selection × 21
predictive-models × 18
regression × 16
data-mining × 16
text-mining × 14
optimization × 12
matlab × 12
neural-networks × 11
kernel-trick × 10
naive-bayes × 7
multi-class × 6
random-forest × 5
boosting × 5
logistic × 5
python × 5
unbalanced-classes × 4
bayesian × 4
scikit-learn × 4
e1071 × 4
