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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