Datasets
Models
Diff of
/classifiers.conf
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| a | b/classifiers.conf | ||
|---|---|---|---|
| 1 | #### CLASSIFICATION |
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| 2 | ccmd=rules.OneR -B 6 |
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| 3 | ccmd=rules.PART -M 2 -C 0.25 -Q 1 |
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| 4 | ccmd=rules.Prism |
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| 5 | ccmd=rules.Ridor -F 3 -S 1 -N 2.0 |
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| 6 | ccmd=rules.RoughSet -D 8 -R 0 -I 0 -X 3 |
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| 7 | ccmd=rules.ZeroR |
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| 8 | ccmd=trees.BFTree -M 2 -N 5 -C 1.0 -P POSTPRUNED -S 1 |
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| 9 | ccmd=trees.CDT -SIDM 1.0 -KTHRootAttribute 1 -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 |
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| 10 | ccmd=trees.DecisionStump |
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| 11 | ccmd=trees.ExtraTree -K -1 -N -1 -S 1 |
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| 12 | ccmd=trees.FT -I 15 -F 0 -M 15 -W 0.0 |
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| 13 | ccmd=trees.HoeffdingTree -L 2 -S 1 -E 1.0E-7 -H 0.05 -M 0.01 -G 200.0 -N 0.0 |
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| 14 | ccmd=trees.Id3 |
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| 15 | ccmd=trees.J48 -C 0.25 -M 2 |
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| 16 | ccmd=trees.J48 -R -N 3 -Q 1 -M 2 -A |
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| 17 | ccmd=trees.J48 -S -C 0.25 -M 2 |
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| 18 | ccmd=trees.J48Consolidated -C 0.25 -M 2 -Q 1 -RM-N 5.0 -RM-B -2 -RM-D 50.0 |
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| 19 | ccmd=trees.LADTree -B 10 |
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| 20 | ccmd=trees.LMT -I -1 -M 15 -W 0.0 |
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| 21 | ccmd=trees.NBTree |
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| 22 | ccmd=trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 |
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| 23 | ccmd=trees.RandomForest -I 10 -K 0 -S 1 |
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| 24 | ccmd=trees.RandomForest -I 25 -K 0 -S 1 |
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| 25 | ccmd=trees.RandomForest -I 50 -K 0 -S 1 |
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| 26 | ccmd=trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 |
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| 27 | ccmd=trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 |
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| 28 | ccmd=trees.SimpleCart -M 2.0 -N 5 -C 1.0 -S 1 |
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| 29 | ccmd=bayes.HMM "-S 6" "-I 0.01" "-C FULL" -Dfalse -Lfalse -Rfalse |
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| 30 | ccmd=bayes.HMM -S 6 -I 0.01 -C FULL |
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| 31 | ccmd=bayes.HMM |
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| 32 | ccmd=bayes.HNB |
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| 33 | ccmd=lazy.LBR |
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| 34 | ccmd=lazy.LWL -U 0 -K -1 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" -W weka.classifiers.trees.DecisionStump |
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| 35 | ccmd=lazy.LocalKnn -M 1 -W 2 -L 100 -K 1 -V 2 |
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| 36 | ccmd=lazy.RseslibKnn -M 1 -W 2 -K 1 -V 2 |
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| 37 | ccmd=misc.CHIRP -V 7 -S 1 |
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| 38 | ccmd=misc.FLR -R 0.5 |
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| 39 | ccmd=misc.HyperPipes |
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| 40 | ccmd=misc.OSDL -C MED -S 0.5 |
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| 41 | ccmd=misc.VFI -B 0.3 |
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| 42 | ccmd=misc.VFI -B 0.4 |
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| 43 | ccmd=misc.VFI -B 0.5 |
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| 44 | ccmd=misc.VFI -B 0.6 |
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| 45 | ccmd=rules.ConjunctiveRule -N 3 -M 2.0 -P -1 -S 1 |
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| 46 | ccmd=rules.DTNB -X 1 |
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| 47 | ccmd=rules.FURIA -F 3 -N 2.0 -O 2 -S 1 -p 0 -s 0 |
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| 48 | ccmd=rules.JRip -F 3 -N 2.0 -O 2 -S 1 |
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| 49 | ccmd=rules.LAC -M 4 -C 0.0 -S 0.0 |
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| 50 | ccmd=bayes.NaiveBayes |
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| 51 | ccmd=bayes.NaiveBayes -D |
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| 52 | ccmd=bayes.NaiveBayes -K |
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| 53 | ccmd=bayes.NaiveBayesMultinomial |
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| 54 | ccmd=bayes.NaiveBayesMultinomialUpdateable |
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| 55 | ccmd=bayes.NaiveBayesSimple |
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| 56 | ccmd=bayes.ComplementNaiveBayes -S 1.0 |
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| 57 | 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 |
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| 58 | 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 |
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| 59 | 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 |
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| 60 | ccmd=bayes.BayesNet -D -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator -- -k2 |
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| 61 | 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 |
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| 62 | 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 |
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| 63 | ccmd=bayes.BayesNet -Q weka.classifiers.bayes.net.search.local.K2 -- -P 1 -S BAYES -E weka.classifiers.bayes.net.estimate.MultiNomialBMAEstimator -- -k2 |
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| 64 | 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 |
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| 65 | ccmd=functions.Logistic -R 1.0E-8 -M -1 |
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| 66 | ccmd=functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4 |
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| 67 | ccmd=bayes.AveragedNDependenceEstimators.A1DE -F 1 -M 1.0 |
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| 68 | ccmd=bayes.AveragedNDependenceEstimators.A1DE -F 1 -S -M 1.0 |
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| 69 | ccmd=bayes.AveragedNDependenceEstimators.A1DE -F 1 -S -M 1.0 -W |
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| 70 | ccmd=bayes.AveragedNDependenceEstimators.A1DE -F 1 -M 1.0 -W |
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| 71 | ccmd=bayes.AveragedNDependenceEstimators.A2DE -F 1 -M 1.0 |
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| 72 | ccmd=bayes.AveragedNDependenceEstimators.A2DE -F 1 -S -M 1.0 |
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| 73 | ccmd=bayes.AveragedNDependenceEstimators.A2DE -F 1 -S -M 1.0 -W |
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| 74 | ccmd=bayes.AveragedNDependenceEstimators.A2DE -F 1 -M 1.0 -W |
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| 75 | 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\"" |
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| 76 | ccmd=lazy.IBkLG |
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| 77 | ccmd=lazy.KStar -B 20 -M a |
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| 78 | ccmd=lazy.KStar -B 20 -M m |
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| 79 | ccmd=lazy.KStar -B 20 -M n |
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| 80 | 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" |
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| 81 | ccmd=rules.NNge -G 5 -I 5 |
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| 82 | ccmd=rules.OLM -R 0 -C 1 -U 0 |
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| 83 | ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500 |
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| 84 | ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500 -M |
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| 85 | ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N |
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| 86 | ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N -M |
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| 87 | ccmd=functions.SimpleLogistic -I 0 -M 500 -H 50 -W 0.0 |
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| 88 | ccmd=functions.SimpleLogistic -I 0 -M 500 -H 50 -W 0.0 -A |
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| 89 | ccmd=functions.SimpleLogistic -I 0 -P -M 500 -H 50 -W 0.0 |
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| 90 | ccmd=functions.SimpleLogistic -I 0 -P -M 500 -H 50 -W 0.0 -A |
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| 91 | ccmd=functions.VotedPerceptron -I 1 -E 1.0 -S 1 -M 10000 |
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| 92 | ccmd=functions.Winnow -I 1 -A 2.0 -B 0.5 -H -1.0 -W 2.0 -S 1 |
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| 93 | ccmd=functions.Winnow -L -I 1 -A 2.0 -B 0.5 -H -1.0 -W 2.0 -S 1 |
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| 94 | ccmd=functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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| 95 | ccmd=functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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| 96 | ccmd=functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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| 97 | ccmd=functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000 |
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| 98 | 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 |
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| 99 | ccmd=functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a |
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| 100 | ccmd=functions.MultilayerPerceptronCS -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a |
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| 101 | ccmd=functions.RBFClassifier -N 2 -R 0.01 -L 1.0E-6 -C 2 -P 1 -E 1 -S 1 |
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| 102 | ccmd=functions.RBFNetwork -B 2 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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| 103 | ccmd=functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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| 104 | ccmd=functions.RBFNetwork -B 4 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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| 105 | ccmd=functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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| 106 | ccmd=functions.RBFNetwork -B 6 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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| 107 | #ccmd=functions.LibLINEAR -S 11 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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| 108 | #ccmd=functions.LibLINEAR -S 11 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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| 109 | #ccmd=functions.LibLINEAR -S 11 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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| 110 | #ccmd=functions.LibLINEAR -S 11 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000 |
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| 111 | #ccmd=functions.LibLINEAR -S 12 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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| 112 | #ccmd=functions.LibLINEAR -S 12 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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| 113 | #ccmd=functions.LibLINEAR -S 12 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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| 114 | #ccmd=functions.LibLINEAR -S 12 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000 |
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| 115 | #ccmd=functions.LibLINEAR -S 13 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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| 116 | #ccmd=functions.LibLINEAR -S 13 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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| 117 | #ccmd=functions.LibLINEAR -S 13 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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| 118 | #ccmd=functions.LibLINEAR -S 13 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000 |
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| 119 | #ccmd=functions.LibLINEAR -S 2 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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| 120 | #ccmd=functions.LibLINEAR -S 2 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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| 121 | #ccmd=functions.LibLINEAR -S 2 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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| 122 | #ccmd=functions.LibLINEAR -S 2 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000 |
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| 123 | #ccmd=functions.LibLINEAR -S 3 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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| 124 | #ccmd=functions.LibLINEAR -S 3 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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| 125 | #ccmd=functions.LibLINEAR -S 3 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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| 126 | #ccmd=functions.LibLINEAR -S 3 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000 |
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| 127 | #ccmd=functions.LibLINEAR -S 4 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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| 128 | #ccmd=functions.LibLINEAR -S 4 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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| 129 | #ccmd=functions.LibLINEAR -S 4 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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| 130 | #ccmd=functions.LibLINEAR -S 4 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000 |
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| 131 | #ccmd=functions.LibLINEAR -S 5 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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| 132 | #ccmd=functions.LibLINEAR -S 5 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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| 133 | #ccmd=functions.LibLINEAR -S 5 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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| 134 | #ccmd=functions.LibLINEAR -S 5 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000 |
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| 135 | #ccmd=functions.LibLINEAR -S 6 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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| 136 | #ccmd=functions.LibLINEAR -S 6 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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| 137 | #ccmd=functions.LibLINEAR -S 6 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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| 138 | #ccmd=functions.LibLINEAR -S 6 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000 |
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| 139 | #ccmd=functions.LibLINEAR -S 7 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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| 140 | #ccmd=functions.LibLINEAR -S 7 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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| 141 | #ccmd=functions.LibLINEAR -S 7 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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| 142 | #ccmd=functions.LibLINEAR -S 7 -C 1.0 -E 0.001 -B 1.0 -Z -P -L 0.1 -I 1000 |
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| 143 | ccmd=lazy.AnalogicalModeling -M variable |
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| 144 | ccmd=lazy.IB1 |
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| 145 | ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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| 146 | ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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| 147 | ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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| 148 | ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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| 149 | #ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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| 150 | #ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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| 151 | #ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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| 152 | #ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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| 153 | #ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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| 154 | #ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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| 155 | #ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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| 156 | #ccmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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| 157 | #ccmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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| 158 | #ccmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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| 159 | #ccmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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| 160 | #ccmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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| 161 | #ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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| 162 | #ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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| 163 | #ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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| 164 | #ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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| 165 | #ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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| 166 | #ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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| 167 | #ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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| 168 | #ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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| 169 | #ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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| 170 | #ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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| 171 | #ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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| 172 | #ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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| 173 | #ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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| 174 | #ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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| 175 | #ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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| 176 | #ccmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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| 177 | #ccmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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| 178 | #ccmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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| 179 | #ccmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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| 180 | #ccmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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| 181 | #ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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| 182 | #ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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| 183 | #ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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| 184 | #ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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| 185 | #ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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| 186 | #ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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| 187 | #ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 188 | #ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 189 | #ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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| 190 | #ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 191 | #ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 192 | #ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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| 193 | #ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 194 | #ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 195 | #ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 196 | #ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 197 | #ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 198 | #ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 199 | #ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 200 | #ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 201 | #ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 202 | #ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 203 | #ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 204 | #ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 205 | #ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 206 | 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" |
||
| 207 | 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" |
||
| 208 | #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" |
||
| 209 | #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" |
||
| 210 | #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" |
||
| 211 | |||
| 212 | #### REGRESSION |
||
| 213 | rcmd=lazy.KStar -B 20 -M a |
||
| 214 | rcmd=lazy.KStar -B 20 -M m |
||
| 215 | rcmd=lazy.KStar -B 20 -M n |
||
| 216 | rcmd=lazy.LWL -U 0 -K -1 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" -W weka.classifiers.trees.DecisionStump |
||
| 217 | rcmd=rules.ConjunctiveRule -N 10 -M 2.0 -P -1 -S 1 |
||
| 218 | rcmd=rules.ConjunctiveRule -N 3 -M 2.0 -P -1 -S 1 |
||
| 219 | rcmd=rules.ConjunctiveRule -N 5 -M 2.0 -P -1 -S 1 |
||
| 220 | rcmd=rules.M5Rules -M 4.0 |
||
| 221 | rcmd=trees.AlternatingModelTree -I 10 -H 1.0 |
||
| 222 | rcmd=trees.CDT -SIDM 1.0 -KTHRootAttribute 1 -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 |
||
| 223 | rcmd=trees.DecisionStump |
||
| 224 | rcmd=trees.ExtraTree -K -1 -N -1 -S 1 |
||
| 225 | rcmd=trees.M5P -M 4.0 |
||
| 226 | rcmd=trees.M5P -N -R -M 2.0 |
||
| 227 | rcmd=trees.M5P -N -R -M 4.0 |
||
| 228 | rcmd=trees.M5P -N -U -R -M 2.0 |
||
| 229 | rcmd=trees.M5P -N -U -R -M 4.0 |
||
| 230 | rcmd=trees.M5P -R -M 2.0 |
||
| 231 | rcmd=trees.M5P -R -M 4.0 |
||
| 232 | rcmd=trees.REPTree -M 2 -V 0.001 -N 10 -S 1 -L -1 |
||
| 233 | rcmd=trees.REPTree -M 2 -V 0.001 -N 10 -S 1 -L -1 -P |
||
| 234 | rcmd=trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 |
||
| 235 | rcmd=trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 |
||
| 236 | rcmd=trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 -P |
||
| 237 | rcmd=trees.REPTree -M 2 -V 0.001 -N 5 -S 1 -L -1 |
||
| 238 | rcmd=trees.REPTree -M 2 -V 0.001 -N 5 -S 1 -L -1 -P |
||
| 239 | rcmd=trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 |
||
| 240 | rcmd=trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 |
||
| 241 | 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 |
||
| 242 | rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0 -L" |
||
| 243 | rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0" |
||
| 244 | rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0 -L" |
||
| 245 | rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0" |
||
| 246 | rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0 -L" |
||
| 247 | rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0" |
||
| 248 | #rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0 -L" |
||
| 249 | #rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0" |
||
| 250 | #rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0 -L" |
||
| 251 | #rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0" |
||
| 252 | #rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.Puk -C 250007 -O 1.0 -S 1.0" |
||
| 253 | #rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.01" |
||
| 254 | #rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007 -S 1 |
||
| 255 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0 -L" |
||
| 256 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0" |
||
| 257 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0 -L" |
||
| 258 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0" |
||
| 259 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0 -L" |
||
| 260 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0" |
||
| 261 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0 -L" |
||
| 262 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0" |
||
| 263 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0 -L" |
||
| 264 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0" |
||
| 265 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.Puk -C 250007 -O 1.0 -S 1.0" |
||
| 266 | #rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.01" |
||
| 267 | #rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0 -L" |
||
| 268 | #rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0" |
||
| 269 | #rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0 -L" |
||
| 270 | #rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0" |
||
| 271 | #rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0 -L" |
||
| 272 | #rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0" |
||
| 273 | #rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0 -L" |
||
| 274 | #rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.Puk -C 250007 -O 1.0 -S 1.0" |
||
| 275 | #rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.01" |
||
| 276 | rcmd=functions.IsotonicRegression |
||
| 277 | rcmd=functions.KernelLogisticRegression -S 1 -K weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007 -L 0.01 -P 1 -E 1 |
||
| 278 | rcmd=functions.LeastMedSq -S 10 -G 0 |
||
| 279 | rcmd=functions.LeastMedSq -S 4 -G 0 |
||
| 280 | rcmd=functions.LeastMedSq -S 4 -G 0 |
||
| 281 | rcmd=functions.LinearRegression -S 0 -C -R 1.0E-8 |
||
| 282 | rcmd=functions.LinearRegression -S 0 -R 1.0E-8 |
||
| 283 | rcmd=functions.LinearRegression -S 0 -R 1.0E-8 -num-decimal-places 4 |
||
| 284 | rcmd=functions.LinearRegression -S 2 -C -R 1.0E-8 |
||
| 285 | rcmd=functions.LinearRegression -S 2 -R 1.0E-8 |
||
| 286 | 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 |
||
| 287 | rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.1 -N 1000 -V 0 -S 0 -E 20 -H a |
||
| 288 | rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.1 -N 500 -V 0 -S 0 -E 20 -H a |
||
| 289 | #rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.2 -N 1000 -V 0 -S 0 -E 20 -H a |
||
| 290 | #rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a |
||
| 291 | #rcmd=functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 1000 -V 0 -S 0 -E 20 -H a |
||
| 292 | #rcmd=functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a |
||
| 293 | #rcmd=functions.MultilayerPerceptronCS -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a |
||
| 294 | rcmd=functions.RBFNetwork -B 1 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
||
| 295 | rcmd=functions.RBFNetwork -B 2 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
||
| 296 | rcmd=functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
||
| 297 | rcmd=functions.RBFNetwork -B 4 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
||
| 298 | rcmd=functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
||
| 299 | rcmd=functions.RBFRegressor -N 2 -R 0.01 -L 1.0E-6 -C 2 -P 1 -E 1 -S 1 |
||
| 300 | 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" |
||
| 301 | #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" |
||
| 302 | #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" |
||
| 303 | #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" |
||
| 304 | #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 |
||
| 305 | rcmd=functions.SimpleLinearRegression |
||
| 306 | #rcmd=functions.VotedPerceptron -I 1 -E 1.0 -S 1 -M 10000 |
||
| 307 | rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 308 | rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 309 | rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 310 | #rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 311 | #rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 312 | #rcmd=lazy.IBk -K 1 -W 0 -A weka.core.neighboursearch.LinearNNSearch -A "weka.core.EuclideanDistance -R first-last" |
||
| 313 | #rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 314 | #rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 315 | #rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 316 | #rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 317 | #rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 318 | #rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 319 | #rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 320 | #rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 321 | #rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 322 | #rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 323 | #rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 324 | #rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 325 | #rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 326 | #rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 327 | #rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 328 | #rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 329 | #rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 330 | #rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 331 | #rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 332 | #rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 333 | #rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 334 | #rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 335 | #rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 336 | #rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 337 | #rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 338 | #rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 339 | #rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 340 | #rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 341 | #rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 342 | #rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 343 | #rcmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 344 | #rcmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 345 | #rcmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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| 346 | #rcmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 347 | #rcmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 348 | #rcmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 349 | #rcmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 350 | #rcmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 351 | #rcmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 352 | #rcmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 353 | #rcmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 354 | #rcmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 355 | #rcmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 356 | #rcmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 357 | #rcmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 358 | #rcmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 359 | #rcmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 360 | #rcmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 361 | #rcmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 362 | #rcmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 363 | #rcmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
||
| 364 | #rcmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
||
| 365 | #rcmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
||
| 366 | #rcmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
||
| 367 | #rcmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
||
| 368 | #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\"" |
||
| 369 | 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 |
||
| 370 | #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 |
||
| 371 | #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 |
||
| 372 | #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 |
||
| 373 | #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 |
||
| 374 | #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 |
||
| 375 | #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 |
||
| 376 | #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 |
||
| 377 | |||
| 378 | # #### End of classifiers file #### # |