Output data type

A probability captures the likelihood that something is correct and is normally expressed as a number between 0 (impossible) and 1 (certain). Probabilities are used in machine learning both to allow a model to deal with uncertainty inherent in measurements and in order to capture the uncertainty of predictions made by imperfect models.

used by
ALG_Association rule learning ALG_Discriminant analysis ALG_Expectation maximization ALG_Logistic regression ALG_Naive Bayesian Classifier ALG_Perceptron ALG_Probabilistic latent semantic indexing ALG_Radial basis function network