weka.classifiers.scripting.JythonClassifier;-J "C:\\Program Files\\Weka-3-7"

weka.classifiers.bayes.NaiveBayesMultinomialText;-P 0 -M 3.0 -norm 1.0 -lnorm 2.0 -tokenizer "weka.core.tokenizers.WordTokenizer -delimiters \" \\r\\n\\t.,;:\\\'\\\"()?!\"" -stemmer weka.core.stemmers.NullStemmer

weka.classifiers.trees.UserClassifier; 

weka.classifiers.meta.BatchPredictorVote;-S 1 -B "weka.classifiers.rules.ZeroR " -R AVG

weka.classifiers.meta.OneClassClassifier;-num "weka.classifiers.meta.generators.GaussianGenerator -S 1 -M 0.0 -SD 1.0" -nom "weka.classifiers.meta.generators.NominalGenerator -S 1" -trr 0.1 -tcl target -cvr 10 -cvf 10.0 -P 0.5 -S 1 -W weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.trees.REPTree -- -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0

weka.classifiers.meta.CostSensitiveClassifier;-N "C:\\Program Files\\Weka-3-7" -S 1 -W weka.classifiers.rules.ZeroR
weka.classifiers.meta.MetaCost;-N "C:\\Program Files\\Weka-3-7" -I 10 -P 100 -S 1 -W weka.classifiers.rules.ZeroR

weka.classifiers.meta.AggregateableFilteredClassifier;-W weka.classifiers.bayes.NaiveBayes
weka.classifiers.meta.AggregateableFilteredClassifierUpdateable;-W weka.classifiers.bayes.NaiveBayesUpdateable

weka.classifiers.misc.SerializedClassifier;-model "C:\\Program Files\\Weka-3-7"

weka.classifiers.meta.GridSearch;-E CC -y-property classifier.ridge -y-min -10.0 -y-max 5.0 -y-step 1.0 -y-base 10.0 -y-expression pow(BASE,I) -filter "weka.filters.supervised.attribute.PLSFilter -C 20 -M -A PLS1 -P center" -x-property filter.numComponents -x-min 5.0 -x-max 20.0 -x-step 1.0 -x-base 10.0 -x-expression I -sample-size 100.0 -traversal COLUMN-WISE -log-file "C:\\Program Files\\Weka-3-7" -num-slots 1 -S 1 -W weka.classifiers.functions.LinearRegression -- -S 1 -C -R 1.0E-8

weka.classifiers.rules.MODLEM;-RT 1 -CM 1 -CS 8 -AS 0

weka.classifiers.scripting.GroovyClassifier;-G "C:\\Program Files\\Weka-3-7"
weka.classifiers.trees.J48Consolidated;-C 0.25 -M 2 -Q 1 -RM-C -RM-N 99.0 -RM-B -2 -RM-D 50.0

weka.classifiers.lazy.CAAR;-K 1 -R 0 -L 0 -C 0 -M 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""

weka.classifiers.mi.CitationKNN;-R 1 -C 1 -H 1
weka.classifiers.mi.MISMO;-C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.mi.supportVector.MIPolyKernel -E 1.0 -C 250007"
weka.classifiers.mi.MIWrapper;-P 2 -A 3 -W weka.classifiers.rules.ZeroR
weka.classifiers.mi.SimpleMI;-M 1 -W weka.classifiers.rules.ZeroR

-----------------------------------------------------------------

weka.classifiers.functions.LibSVM;-S 0 -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 -model "C:\\Program Files\\Weka-3-7" -seed 1
weka.classifiers.misc.InputMappedClassifier;-I -trim -W weka.classifiers.rules.ZeroR
weka.classifiers.mlr.MLRClassifier;-learner classif.rpart -batch 100
