Table 1. List of methods and their types.

Method	Type	Method	Type
BayesianLogisticRegression	bayes	MultiBoostAB	meta
BayesNet	bayes	RandomCommittee	meta
ComplementNaiveBayes	bayes	RandomSubSpace	meta
NaiveBayes	bayes	RotationForest	meta
NaiveBayesUpdateable	bayes	Stacking	meta
Logistic	functions	ConjunctiveRule	rules
MultilayerPerceptron	functions	DecisionTable	rules
RBFNetwork	functions	DTNB	rules
SimpleLogistic	functions	JRip	rules
SMO	functions	NNge	rules
Spegasos	functions	OneR	rules
VotedPerceptron	functions	PART	rules
IB1	lazy	Ridor	rules
IBk	lazy	ZeroR	rules
KStar	lazy	ADTree	trees
LWL	lazy	BFTree	trees
AdaBoostM1	meta	FT	trees
AttributeSelectedClassifier	meta	J48	trees
Bagging	meta	LADTree	trees
ClassificationViaClustering	meta	LMT	trees
ClassificationViaRegression	meta	NBTree	trees
Dagging	meta	RandomForest	trees
Decorate	meta	RandomTree	trees
END	meta	REPTree	trees
LogitBoost	meta	SimpleCart	trees

List of methods utilised in this work and their respective types, as categorised in WEKA [23] version 3.6.4. No manual tuning of parameters was undertaken, with all parameters set to their default values.