Table 3.

Merging individual classifiers into the NB-MuSE classifier

Classifier*	External validation	Paradigm°	Function
	Accuracy (%)^
Chen	85	BayesNet	Learns Bayesian nets
Di Pietro	83	BayesNet	Learns Bayesian nets
Fredlund	80	ClassificationViaRegression	Class is binarized and one regression model is built for each class value
Asgharzadeh	83	ComplementNaiveBayes	Builds a complement Näive Bayes classifier
Fransson	85	ComplementNaiveBayes	Builds a complement Näive Bayes classifier
De Preter II	87	IBk	k-nearest-neighbors classifier
Wei	83	IBk	k-nearest-neighbors classifier
De Preter I	83	KStar	Nearest neighbor with generalized distance function
Oberthuer	87	Logistic	Builds linear logistic regression models
Hahn	82	MultiLayerPerceptron	Backpropagation neural network
McArdle	80	MultiLayerPerceptron	Backpropagation neural network
Oe	80	MultiLayerPerceptron	Backpropagation neural network
Nevo II	87	NaiveBayes	Standard probabilistic Näive Bayes classifier
Shimada	80	NBTree	Builds a deciosion tree with Näive Bayes classifier at the leaves
Vermeulen	85	NBTree	Builds a decision tree with Näive Bayes classifier at the leaves
Ohira	85	RandomForest	Constructs random forest
Fischer	81	SimpleLogistic	Builds linear logistic regression models with built-in attribute selection
Fardin	83	Voted Perceptron	Voted perceptron algorihtm
Nevo I	80	Voted Perceptron	Voted perceptron algorihtm
NB-MuSE	94	DecisonTable	Builds a simple decision table majority classifier

* Classifier associated to the signature described in the paper whose first name is listed.

^{^} External validation on the DS3 dataset.

° Paradigms that gave the top performance in external validation.