Binary Classification Function
(Redirected from Predictive Relation)
- AKA: Two-Class Classifier, Two-Valued Classification Model.
- It must have input of : Data Item(e.g. a Test Instance)
- output: Data Value from Binary Set.
- It can be a Predictive Logic Relation if the Target Class is the Boolean Set.
- It can make a Correct Prediction or an Incorrect Prediction.
- Its Performance can be measured in terms of:
- It can be an Input to a Binary Classification Task.
- See: Relation Function, Binomial Regression Model.
- (Hastie & al, 2004) ⇒ Trevor Hastie, Saharon Rosset, Robert Tibshirani, and Ji Zhu. (2004). "The Entire Regularization Path for the Support Vector Machine." In: The Journal of Machine Learning Research, 5.
- QUOTE: The support vector machine (SVM) is a widely used tool for classification. Many efficient implementations exist for fitting a two-class SVM model. The user has to supply values for the tuning parameters: the regularization cost parameter, and the kernel parameters. In this paper we study the support vector machine (SVM)(Vapnik, 1996; Schölkopf and Smola, 2001) for two-class classification.