--- a
+++ b/src/classifiers.conf
@@ -0,0 +1,357 @@
+#### CLASSIFICATION
+ccmd=rules.OneR -B 6
+ccmd=rules.PART -M 2 -C 0.25 -Q 1
+ccmd=rules.Prism
+ccmd=rules.Ridor -F 3 -S 1 -N 2.0  
+ccmd=rules.RoughSet -D 8 -R 0 -I 0 -X 3
+ccmd=rules.ZeroR
+ccmd=trees.BFTree -M 2 -N 5 -C 1.0 -P POSTPRUNED -S 1
+ccmd=trees.CDT -SIDM 1.0 -KTHRootAttribute 1 -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
+ccmd=trees.DecisionStump
+ccmd=trees.ExtraTree -K -1 -N -1 -S 1
+ccmd=trees.FT -I 15 -F 0 -M 15 -W 0.0   
+ccmd=trees.HoeffdingTree -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0
+ccmd=trees.Id3
+ccmd=trees.J48 -C 0.25 -M 2
+ccmd=trees.J48 -R -N 3 -Q 1 -M 2 -A
+ccmd=trees.J48 -S -C 0.25 -M 2
+ccmd=trees.J48Consolidated -C 0.25 -M 2 -Q 1 -RM-N 5.0 -RM-B -2 -RM-D 50.0
+ccmd=trees.LADTree -B 10
+ccmd=trees.LMT -I -1 -M 15 -W 0.0
+ccmd=trees.NBTree
+ccmd=trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
+ccmd=trees.RandomForest -I 10 -K 0 -S 1
+ccmd=trees.RandomForest -I 25 -K 0 -S 1
+ccmd=trees.RandomForest -I 50 -K 0 -S 1
+ccmd=trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1
+ccmd=trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1
+ccmd=trees.SimpleCart -M 2.0 -N 5 -C 1.0 -S 1
+ccmd=bayes.HNB
+ccmd=lazy.LBR
+ccmd=lazy.LWL -U 0 -K -1 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" -W weka.classifiers.trees.DecisionStump
+ccmd=lazy.LocalKnn -M 1 -W 2 -L 100 -K 1 -V 2
+ccmd=lazy.RseslibKnn -M 1 -W 2 -K 1 -V 2
+ccmd=misc.CHIRP -V 7 -S 1
+ccmd=misc.FLR -R 0.5   
+ccmd=misc.HyperPipes
+ccmd=misc.OSDL -C MED -S 0.5
+ccmd=misc.VFI -B 0.3
+ccmd=misc.VFI -B 0.4
+ccmd=misc.VFI -B 0.5
+ccmd=misc.VFI -B 0.6 
+ccmd=rules.ConjunctiveRule -N 3 -M 2.0 -P -1 -S 1
+ccmd=rules.DTNB -X 1       
+ccmd=rules.FURIA -F 3 -N 2.0 -O 2 -S 1 -p 0 -s 0
+ccmd=rules.JRip -F 3 -N 2.0 -O 2 -S 1
+ccmd=rules.LAC -M 4 -C 0.0 -S 0.0
+ccmd=bayes.NaiveBayes 
+ccmd=bayes.NaiveBayes -D
+ccmd=bayes.NaiveBayes -K
+ccmd=bayes.NaiveBayesMultinomial
+ccmd=bayes.NaiveBayesMultinomialUpdateable
+ccmd=bayes.NaiveBayesSimple
+ccmd=bayes.ComplementNaiveBayes -S 1.0
+ccmd=functions.Logistic -R 1.0E-8 -M -1
+ccmd=functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4
+ccmd=lazy.IBkLG -K 1 -W 0 -S 1.0 -L -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+ccmd=lazy.IBkLG
+ccmd=lazy.KStar -B 20 -M a
+ccmd=lazy.KStar -B 20 -M m
+ccmd=lazy.KStar -B 20 -M n
+ccmd=rules.MultiObjectiveEvolutionaryFuzzyClassifier -g 10 -ps 100 -s 1 -ms 0.1 -minv 30.0 -maxv 2.0 -maxr -1 -ev 0 -a 0 -report-frequency 10 -log-file "EvolutionaryFuzzyClassifier.log"
+ccmd=rules.NNge -G 5 -I 5 
+ccmd=rules.OLM -R 0 -C 1 -U 0
+ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500
+ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500 -M
+ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N
+ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N -M
+ccmd=functions.SimpleLogistic -I 0 -M 500 -H 50 -W 0.0
+ccmd=functions.SimpleLogistic -I 0 -M 500 -H 50 -W 0.0 -A
+ccmd=functions.SimpleLogistic -I 0 -P -M 500 -H 50 -W 0.0
+ccmd=functions.SimpleLogistic -I 0 -P -M 500 -H 50 -W 0.0 -A
+#ccmd=functions.VotedPerceptron -I 1 -E 1.0 -S 1 -M 10000
+ccmd=functions.Winnow -I 1 -A 2.0 -B 0.5 -H -1.0 -W 2.0 -S 1
+ccmd=functions.Winnow -L -I 1 -A 2.0 -B 0.5 -H -1.0 -W 2.0 -S 1
+ccmd=functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000
+ccmd=functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000
+ccmd=functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000
+ccmd=functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000
+#ccmd=functions.MLPClassifier -N 2 -R 0.01 -O 1.0E-6 -P 1 -E 1 -S 1 -L weka.classifiers.functions.loss.SquaredError -A weka.classifiers.functions.activation.ApproximateSigmoid
+#ccmd=functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a
+#ccmd=functions.MultilayerPerceptronCS -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a       
+ccmd=functions.RBFClassifier -N 2 -R 0.01 -L 1.0E-6 -C 2 -P 1 -E 1 -S 1
+ccmd=functions.RBFNetwork -B 2 -S 1 -R 1.0E-8 -M -1 -W 0.1
+ccmd=functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1
+ccmd=functions.RBFNetwork -B 4 -S 1 -R 1.0E-8 -M -1 -W 0.1
+ccmd=functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1
+ccmd=functions.RBFNetwork -B 6 -S 1 -R 1.0E-8 -M -1 -W 0.1
+#ccmd=functions.LibLINEAR -S 11 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 11 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 11 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 11 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 12 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 12 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 12 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 12 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 13 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 13 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 13 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 13 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 2 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 2 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 2 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 2 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 3 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 3 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 3 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 3 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 4 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 4 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 4 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 4 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 5 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 5 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 5 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 5 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 6 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 6 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 6 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 6 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 7 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 7 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 7 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000
+#ccmd=functions.LibLINEAR -S 7 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000
+ccmd=lazy.AnalogicalModeling -M variable
+ccmd=lazy.IB1
+ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+#ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+#ccmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+#ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+#ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+#ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+#ccmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+#ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+#ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+#ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+#ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
+#ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
+#ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
+ccmd=functions.SMO -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0"
+ccmd=functions.SMO -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "functions.supportVector.PolyKernel -C 250007 -E 1.0"
+#ccmd=functions.SMO -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4"
+#ccmd=functions.SMO -C 1.0 -L 0.001 -P 1.0E-12 -N 1 -V -1 -W 1 -K "functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0"
+#ccmd=functions.SMO -C 1.0 -L 0.001 -P 1.0E-12 -N 1 -V -1 -W 1 -K "functions.supportVector.PolyKernel -C 250007 -E 1.0"
+
+#### REGRESSION
+rcmd=lazy.KStar -B 20 -M a
+rcmd=lazy.KStar -B 20 -M m
+rcmd=lazy.KStar -B 20 -M n
+rcmd=lazy.LWL -U 0 -K -1 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" -W weka.classifiers.trees.DecisionStump
+rcmd=rules.ConjunctiveRule -N 10 -M 2.0 -P -1 -S 1
+rcmd=rules.ConjunctiveRule -N 3 -M 2.0 -P -1 -S 1
+rcmd=rules.ConjunctiveRule -N 5 -M 2.0 -P -1 -S 1
+rcmd=rules.M5Rules -M 4.0
+rcmd=trees.AlternatingModelTree -I 10 -H 1.0
+rcmd=trees.CDT -SIDM 1.0 -KTHRootAttribute 1 -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
+rcmd=trees.DecisionStump
+rcmd=trees.ExtraTree -K -1 -N -1 -S 1
+rcmd=trees.M5P -M 4.0 
+rcmd=trees.M5P -N -R -M 2.0
+rcmd=trees.M5P -N -R -M 4.0
+rcmd=trees.M5P -N -U -R -M 2.0
+rcmd=trees.M5P -N -U -R -M 4.0
+rcmd=trees.M5P -R -M 2.0
+rcmd=trees.M5P -R -M 4.0
+rcmd=trees.REPTree -M 2 -V 0.001 -N 10 -S 1 -L -1
+rcmd=trees.REPTree -M 2 -V 0.001 -N 10 -S 1 -L -1 -P
+rcmd=trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1
+rcmd=trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0
+rcmd=trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 -P
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\ No newline at end of file