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Table 2 Weka classifiers

From: Supervised DNA Barcodes species classification: analysis, comparisons and results

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