SVC

E97071

Python class Support Vector Machine classifier machine learning model class scikit-learn estimator

SVC is scikit-learn’s implementation of a Support Vector Machine classifier used for supervised learning tasks such as binary and multiclass classification.

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Statements (49)

Predicate	Object
instanceOf	Python class ⓘ Support Vector Machine classifier ⓘ machine learning model class ⓘ scikit-learn estimator ⓘ
basedOn	Support Vector Machines ⓘ surface form: C-Support Vector Classification Support Vector Machines ⓘ
belongsToEcosystem	Python scientific stack ⓘ surface form: Python scientific computing stack
defaultKernel	rbf ⓘ
handles	non-linearly separable data ⓘ
hyperparameter	C ⓘ break_ties ⓘ cache_size ⓘ class_weight ⓘ coef0 ⓘ decision_function_shape ⓘ degree ⓘ gamma ⓘ kernel ⓘ max_iter ⓘ probability ⓘ random_state ⓘ shrinking ⓘ tol ⓘ verbose ⓘ
implementedInLibrary	scikit-learn ⓘ
method	decision_function ⓘ fit ⓘ predict ⓘ predict_proba ⓘ score ⓘ
module	sklearn.svm ⓘ
optimizationSolver	libsvm ⓘ
outputType	class labels ⓘ
probabilisticOutput	predict_proba ⓘ
regularizationParameter	C ⓘ
supports	kernel methods ⓘ non-linear decision boundaries ⓘ one-vs-one multiclass strategy ⓘ probability estimates via Platt scaling ⓘ sample weights ⓘ sparse input ⓘ
supportsKernel	linear ⓘ poly ⓘ precomputed ⓘ rbf ⓘ sigmoid ⓘ
usedFor	binary classification ⓘ multiclass classification ⓘ supervised learning ⓘ

Referenced by (1)

Full triples — surface form annotated when it differs from this entity's canonical label.

scikit-learn → hasConcept → SVC ⓘ