#### 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.HMM "-S 6" "-I 0.01" "-C FULL" -Dfalse -Lfalse -Rfalse
ccmd=bayes.HMM -S 6 -I 0.01 -C FULL 
ccmd=bayes.HMM
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=bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -N -S BAYES -E weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator -- -k2
ccmd=bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -N -mbc -S BAYES -E weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator -- -k2
ccmd=bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.BMAEstimator -- -A 0.5
ccmd=bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator -- -k2
ccmd=bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
ccmd=bayes.BayesNet -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.BMAEstimator -- -A 0.5
ccmd=bayes.BayesNet -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator -- -k2
ccmd=bayes.BayesNet -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.SimpleEstimator -- -A 0.5
ccmd=functions.Logistic -R 1.0E-8 -M -1
ccmd=functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4
ccmd=bayes.AveragedNDependenceEstimators.A1DE -F 1 -M 1.0
ccmd=bayes.AveragedNDependenceEstimators.A1DE -F 1 -S -M 1.0
ccmd=bayes.AveragedNDependenceEstimators.A1DE -F 1 -S -M 1.0 -W 
ccmd=bayes.AveragedNDependenceEstimators.A1DE -F 1 -M 1.0 -W 
ccmd=bayes.AveragedNDependenceEstimators.A2DE -F 1 -M 1.0
ccmd=bayes.AveragedNDependenceEstimators.A2DE -F 1 -S -M 1.0
ccmd=bayes.AveragedNDependenceEstimators.A2DE -F 1 -S -M 1.0 -W 
ccmd=bayes.AveragedNDependenceEstimators.A2DE -F 1 -M 1.0 -W 
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
rcmd=trees.REPTree -M 2 -V 0.001 -N 5 -S 1 -L -1
rcmd=trees.REPTree -M 2 -V 0.001 -N 5 -S 1 -L -1 -P
rcmd=trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1
rcmd=trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1
rcmd=functions.ElasticNet -m2 y -alpha 0.001 -lambda_seq  -thr 1.0E-7 -mxit 10000000 -numModels 100 -infolds 10 -eps 1.0E-4 -sparse n -stderr_rule n -addStats n
rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0 -L"
rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0"
rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0 -L"
rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0"
rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0 -L"
rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0 -L"
#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0 -L"
#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.Puk -C 250007 -O 1.0 -S 1.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.01"
#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007 -S 1
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0 -L"
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0 -L"
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0 -L"
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0 -L"
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0 -L"
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.Puk -C 250007 -O 1.0 -S 1.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.01"
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0 -L"
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0 -L"
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0 -L"
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0 -L"
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.Puk -C 250007 -O 1.0 -S 1.0"
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.01"
rcmd=functions.IsotonicRegression
rcmd=functions.KernelLogisticRegression -S 1 -K weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007 -L 0.01 -P 1 -E 1
rcmd=functions.LeastMedSq -S 10 -G 0
rcmd=functions.LeastMedSq -S 4 -G 0
rcmd=functions.LeastMedSq -S 4 -G 0     
rcmd=functions.LinearRegression -S 0 -C -R 1.0E-8
rcmd=functions.LinearRegression -S 0 -R 1.0E-8
rcmd=functions.LinearRegression -S 0 -R 1.0E-8 -num-decimal-places 4
rcmd=functions.LinearRegression -S 2 -C -R 1.0E-8
rcmd=functions.LinearRegression -S 2 -R 1.0E-8
rcmd=functions.MLPRegressor -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
rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.1 -N 1000 -V 0 -S 0 -E 20 -H a
rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.1 -N 500 -V 0 -S 0 -E 20 -H a
#rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.2 -N 1000 -V 0 -S 0 -E 20 -H a
#rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a
#rcmd=functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 1000 -V 0 -S 0 -E 20 -H a
#rcmd=functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a
#rcmd=functions.MultilayerPerceptronCS -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a       
rcmd=functions.RBFNetwork -B 1 -S 1 -R 1.0E-8 -M -1 -W 0.1
rcmd=functions.RBFNetwork -B 2 -S 1 -R 1.0E-8 -M -1 -W 0.1
rcmd=functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1
rcmd=functions.RBFNetwork -B 4 -S 1 -R 1.0E-8 -M -1 -W 0.1
rcmd=functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1
rcmd=functions.RBFRegressor -N 2 -R 0.01 -L 1.0E-6 -C 2 -P 1 -E 1 -S 1
rcmd=functions.SMOreg -C 1.0 -N 0 -I "weka.classifiers.functions.supportVector.RegSMOImproved -L 0.001 -W 1 -P 1.0E-12 -T 0.001 -V" -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0"
#rcmd=functions.SMOreg -C 1.0 -N 0 -I "weka.classifiers.functions.supportVector.RegSMOImproved -L 0.001 -W 1 -P 1.0E-12 -T 0.001 -V" -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0"
#rcmd=functions.SMOreg -C 1.0 -N 0 -I "weka.classifiers.functions.supportVector.RegSMOImproved -L 0.001 -W 1 -P 1.0E-12 -T 0.001 -V" -K "weka.classifiers.functions.supportVector.Puk -C 250007 -O 1.0 -S 1.0"
#rcmd=functions.SMOreg -C 1.0 -N 0 -I "weka.classifiers.functions.supportVector.RegSMOImproved -L 0.001 -W 1 -P 1.0E-12 -T 0.001 -V" -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.01"
#rcmd=functions.SMOreg -C 1.0 -N 0 -I weka.classifiers.functions.supportVector.RegSMOImproved -T 0.001 -V -P 1.0E-12 -L 0.001 -W 1 -K weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007
rcmd=functions.SimpleLinearRegression
#rcmd=functions.VotedPerceptron -I 1 -E 1.0 -S 1 -M 10000
rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -A weka.core.neighboursearch.LinearNNSearch -A "weka.core.EuclideanDistance -R first-last"
#rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\""
#rcmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\""
#rcmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\""
#rcmd=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\""
rcmd=functions.LibSVM -S 3 -K 0 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -seed 1
#rcmd=functions.LibSVM -S 3 -K 1 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -seed 1
#rcmd=functions.LibSVM -S 3 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -seed 1
#rcmd=functions.LibSVM -S 3 -K 3 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -seed 1
#rcmd=functions.LibSVM -S 4 -K 0 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -seed 1
#rcmd=functions.LibSVM -S 4 -K 1 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -seed 1
#rcmd=functions.LibSVM -S 4 -K 2 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -seed 1
#rcmd=functions.LibSVM -S 4 -K 3 -D 3 -G 0.0 -R 0.0 -N 0.5 -M 40.0 -C 1.0 -E 0.001 -P 0.1 -seed 1

# #### End of classifiers file #### #