Table 2.

Weka classifiers

Kind of classification	Description
Bayes	Bayesian network (e.g., Naïve Bayes)
Functions	Linear regression, neural networks, support vector machine
Lazy	Instance-based similarity (e.g., Nearest neighbor algorithm)
Meta	Bagging, boosting, stacking, regression through classification, classification through regression, cost sensitive classification
Rules	Rule-based classifiers
Trees	Tree classifier (e.g., decision tree)
Mi	Algorithms that handle multi-instance data
Misc	Various classifiers that do not fit in any another category