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a |
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b/src/classifiers.conf |
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1 |
#### CLASSIFICATION |
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ccmd=rules.OneR -B 6 |
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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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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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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.HNB |
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30 |
ccmd=lazy.LBR |
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31 |
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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ccmd=lazy.LocalKnn -M 1 -W 2 -L 100 -K 1 -V 2 |
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33 |
ccmd=lazy.RseslibKnn -M 1 -W 2 -K 1 -V 2 |
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34 |
ccmd=misc.CHIRP -V 7 -S 1 |
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35 |
ccmd=misc.FLR -R 0.5 |
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36 |
ccmd=misc.HyperPipes |
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37 |
ccmd=misc.OSDL -C MED -S 0.5 |
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38 |
ccmd=misc.VFI -B 0.3 |
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39 |
ccmd=misc.VFI -B 0.4 |
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40 |
ccmd=misc.VFI -B 0.5 |
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41 |
ccmd=misc.VFI -B 0.6 |
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42 |
ccmd=rules.ConjunctiveRule -N 3 -M 2.0 -P -1 -S 1 |
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43 |
ccmd=rules.DTNB -X 1 |
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ccmd=rules.FURIA -F 3 -N 2.0 -O 2 -S 1 -p 0 -s 0 |
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45 |
ccmd=rules.JRip -F 3 -N 2.0 -O 2 -S 1 |
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46 |
ccmd=rules.LAC -M 4 -C 0.0 -S 0.0 |
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47 |
ccmd=bayes.NaiveBayes |
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48 |
ccmd=bayes.NaiveBayes -D |
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49 |
ccmd=bayes.NaiveBayes -K |
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50 |
ccmd=bayes.NaiveBayesMultinomial |
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51 |
ccmd=bayes.NaiveBayesMultinomialUpdateable |
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52 |
ccmd=bayes.NaiveBayesSimple |
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53 |
ccmd=bayes.ComplementNaiveBayes -S 1.0 |
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54 |
ccmd=functions.Logistic -R 1.0E-8 -M -1 |
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55 |
ccmd=functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4 |
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56 |
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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57 |
ccmd=lazy.IBkLG |
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58 |
ccmd=lazy.KStar -B 20 -M a |
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ccmd=lazy.KStar -B 20 -M m |
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60 |
ccmd=lazy.KStar -B 20 -M n |
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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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ccmd=rules.NNge -G 5 -I 5 |
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63 |
ccmd=rules.OLM -R 0 -C 1 -U 0 |
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64 |
ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500 |
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65 |
ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500 -M |
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66 |
ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N |
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67 |
ccmd=functions.SPegasos -F 0 -L 1.0E-4 -E 500 -N -M |
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68 |
ccmd=functions.SimpleLogistic -I 0 -M 500 -H 50 -W 0.0 |
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69 |
ccmd=functions.SimpleLogistic -I 0 -M 500 -H 50 -W 0.0 -A |
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70 |
ccmd=functions.SimpleLogistic -I 0 -P -M 500 -H 50 -W 0.0 |
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71 |
ccmd=functions.SimpleLogistic -I 0 -P -M 500 -H 50 -W 0.0 -A |
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72 |
#ccmd=functions.VotedPerceptron -I 1 -E 1.0 -S 1 -M 10000 |
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73 |
ccmd=functions.Winnow -I 1 -A 2.0 -B 0.5 -H -1.0 -W 2.0 -S 1 |
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74 |
ccmd=functions.Winnow -L -I 1 -A 2.0 -B 0.5 -H -1.0 -W 2.0 -S 1 |
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75 |
ccmd=functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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76 |
ccmd=functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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77 |
ccmd=functions.LibLINEAR -S 1 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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78 |
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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79 |
#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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80 |
#ccmd=functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a |
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81 |
#ccmd=functions.MultilayerPerceptronCS -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a |
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82 |
ccmd=functions.RBFClassifier -N 2 -R 0.01 -L 1.0E-6 -C 2 -P 1 -E 1 -S 1 |
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83 |
ccmd=functions.RBFNetwork -B 2 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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84 |
ccmd=functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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85 |
ccmd=functions.RBFNetwork -B 4 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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86 |
ccmd=functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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87 |
ccmd=functions.RBFNetwork -B 6 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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88 |
#ccmd=functions.LibLINEAR -S 11 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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89 |
#ccmd=functions.LibLINEAR -S 11 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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90 |
#ccmd=functions.LibLINEAR -S 11 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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91 |
#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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92 |
#ccmd=functions.LibLINEAR -S 12 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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93 |
#ccmd=functions.LibLINEAR -S 12 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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94 |
#ccmd=functions.LibLINEAR -S 12 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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95 |
#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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96 |
#ccmd=functions.LibLINEAR -S 13 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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97 |
#ccmd=functions.LibLINEAR -S 13 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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98 |
#ccmd=functions.LibLINEAR -S 13 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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99 |
#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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100 |
#ccmd=functions.LibLINEAR -S 2 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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101 |
#ccmd=functions.LibLINEAR -S 2 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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102 |
#ccmd=functions.LibLINEAR -S 2 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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103 |
#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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104 |
#ccmd=functions.LibLINEAR -S 3 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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105 |
#ccmd=functions.LibLINEAR -S 3 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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106 |
#ccmd=functions.LibLINEAR -S 3 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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107 |
#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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108 |
#ccmd=functions.LibLINEAR -S 4 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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109 |
#ccmd=functions.LibLINEAR -S 4 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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110 |
#ccmd=functions.LibLINEAR -S 4 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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111 |
#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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112 |
#ccmd=functions.LibLINEAR -S 5 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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113 |
#ccmd=functions.LibLINEAR -S 5 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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114 |
#ccmd=functions.LibLINEAR -S 5 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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115 |
#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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116 |
#ccmd=functions.LibLINEAR -S 6 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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117 |
#ccmd=functions.LibLINEAR -S 6 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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118 |
#ccmd=functions.LibLINEAR -S 6 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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119 |
#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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120 |
#ccmd=functions.LibLINEAR -S 7 -C 1.0 -E 0.001 -B 1.0 -L 0.1 -I 1000 |
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121 |
#ccmd=functions.LibLINEAR -S 7 -C 1.0 -E 0.001 -B 1.0 -P -L 0.1 -I 1000 |
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122 |
#ccmd=functions.LibLINEAR -S 7 -C 1.0 -E 0.001 -B 1.0 -Z -L 0.1 -I 1000 |
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123 |
#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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124 |
ccmd=lazy.AnalogicalModeling -M variable |
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125 |
ccmd=lazy.IB1 |
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126 |
ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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127 |
ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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128 |
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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129 |
ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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130 |
#ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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131 |
#ccmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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132 |
#ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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133 |
#ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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134 |
#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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135 |
#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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136 |
#ccmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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137 |
#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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138 |
#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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139 |
#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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140 |
#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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141 |
#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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142 |
#ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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143 |
#ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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144 |
#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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145 |
#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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146 |
#ccmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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147 |
#ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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148 |
#ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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149 |
#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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150 |
#ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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151 |
#ccmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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152 |
#ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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153 |
#ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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154 |
#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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155 |
#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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156 |
#ccmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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157 |
#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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158 |
#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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159 |
#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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160 |
#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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161 |
#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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162 |
#ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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163 |
#ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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164 |
#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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165 |
#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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166 |
#ccmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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167 |
#ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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168 |
#ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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169 |
#ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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170 |
#ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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171 |
#ccmd=lazy.IBk -K 5 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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172 |
#ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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173 |
#ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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#ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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#ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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#ccmd=lazy.IBk -K 5 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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177 |
#ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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178 |
#ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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179 |
#ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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#ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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#ccmd=lazy.IBk -K 5 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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#ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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#ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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184 |
#ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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185 |
#ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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186 |
#ccmd=lazy.IBk -K 5 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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187 |
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" |
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188 |
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" |
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189 |
#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" |
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#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" |
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#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" |
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#### REGRESSION |
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rcmd=lazy.KStar -B 20 -M a |
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rcmd=lazy.KStar -B 20 -M m |
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rcmd=lazy.KStar -B 20 -M n |
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rcmd=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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198 |
rcmd=rules.ConjunctiveRule -N 10 -M 2.0 -P -1 -S 1 |
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199 |
rcmd=rules.ConjunctiveRule -N 3 -M 2.0 -P -1 -S 1 |
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rcmd=rules.ConjunctiveRule -N 5 -M 2.0 -P -1 -S 1 |
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rcmd=rules.M5Rules -M 4.0 |
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202 |
rcmd=trees.AlternatingModelTree -I 10 -H 1.0 |
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rcmd=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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rcmd=trees.DecisionStump |
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rcmd=trees.ExtraTree -K -1 -N -1 -S 1 |
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rcmd=trees.M5P -M 4.0 |
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rcmd=trees.M5P -N -R -M 2.0 |
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rcmd=trees.M5P -N -R -M 4.0 |
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209 |
rcmd=trees.M5P -N -U -R -M 2.0 |
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rcmd=trees.M5P -N -U -R -M 4.0 |
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rcmd=trees.M5P -R -M 2.0 |
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rcmd=trees.M5P -R -M 4.0 |
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rcmd=trees.REPTree -M 2 -V 0.001 -N 10 -S 1 -L -1 |
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rcmd=trees.REPTree -M 2 -V 0.001 -N 10 -S 1 -L -1 -P |
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215 |
rcmd=trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 |
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216 |
rcmd=trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 -I 0.0 |
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217 |
rcmd=trees.REPTree -M 2 -V 0.001 -N 3 -S 1 -L -1 -P |
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218 |
rcmd=trees.REPTree -M 2 -V 0.001 -N 5 -S 1 -L -1 |
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219 |
rcmd=trees.REPTree -M 2 -V 0.001 -N 5 -S 1 -L -1 -P |
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220 |
rcmd=trees.RandomForest -P 100 -I 100 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 |
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221 |
rcmd=trees.RandomTree -K 0 -M 1.0 -V 0.001 -S 1 |
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222 |
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 |
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223 |
rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0 -L" |
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224 |
rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0" |
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225 |
rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0 -L" |
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226 |
rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0" |
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227 |
rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0 -L" |
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rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0" |
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#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0 -L" |
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#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0" |
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#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0 -L" |
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232 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0" |
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#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.Puk -C 250007 -O 1.0 -S 1.0" |
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234 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.01" |
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#rcmd=functions.GaussianProcesses -L 1.0 -N 0 -K weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007 -S 1 |
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#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0 -L" |
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237 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0" |
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#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0 -L" |
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239 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0" |
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240 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0 -L" |
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241 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0" |
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242 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0 -L" |
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243 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0" |
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244 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0 -L" |
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245 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 3.0" |
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246 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.Puk -C 250007 -O 1.0 -S 1.0" |
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#rcmd=functions.GaussianProcesses -L 1.0 -N 1 -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.01" |
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248 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0 -L" |
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249 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 2.0" |
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#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0 -L" |
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251 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.NormalizedPolyKernel -C 250007 -E 3.0" |
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252 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0 -L" |
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253 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 1.0" |
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254 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.PolyKernel -C 250007 -E 2.0 -L" |
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255 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.Puk -C 250007 -O 1.0 -S 1.0" |
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256 |
#rcmd=functions.GaussianProcesses -L 1.0 -N 2 -K "weka.classifiers.functions.supportVector.RBFKernel -C 250007 -G 0.01" |
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257 |
rcmd=functions.IsotonicRegression |
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258 |
rcmd=functions.KernelLogisticRegression -S 1 -K weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007 -L 0.01 -P 1 -E 1 |
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259 |
rcmd=functions.LeastMedSq -S 10 -G 0 |
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260 |
rcmd=functions.LeastMedSq -S 4 -G 0 |
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261 |
rcmd=functions.LeastMedSq -S 4 -G 0 |
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262 |
rcmd=functions.LinearRegression -S 0 -C -R 1.0E-8 |
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263 |
rcmd=functions.LinearRegression -S 0 -R 1.0E-8 |
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264 |
rcmd=functions.LinearRegression -S 0 -R 1.0E-8 -num-decimal-places 4 |
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265 |
rcmd=functions.LinearRegression -S 2 -C -R 1.0E-8 |
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266 |
rcmd=functions.LinearRegression -S 2 -R 1.0E-8 |
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267 |
#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 |
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268 |
#rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.1 -N 1000 -V 0 -S 0 -E 20 -H a |
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269 |
#rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.1 -N 500 -V 0 -S 0 -E 20 -H a |
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#rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.2 -N 1000 -V 0 -S 0 -E 20 -H a |
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#rcmd=functions.MultilayerPerceptron -L 0.1 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a |
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#rcmd=functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 1000 -V 0 -S 0 -E 20 -H a |
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273 |
#rcmd=functions.MultilayerPerceptron -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a |
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274 |
#rcmd=functions.MultilayerPerceptronCS -L 0.3 -M 0.2 -N 500 -V 0 -S 0 -E 20 -H a |
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275 |
rcmd=functions.RBFNetwork -B 1 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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276 |
rcmd=functions.RBFNetwork -B 2 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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277 |
rcmd=functions.RBFNetwork -B 3 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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278 |
rcmd=functions.RBFNetwork -B 4 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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279 |
rcmd=functions.RBFNetwork -B 5 -S 1 -R 1.0E-8 -M -1 -W 0.1 |
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280 |
rcmd=functions.RBFRegressor -N 2 -R 0.01 -L 1.0E-6 -C 2 -P 1 -E 1 -S 1 |
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281 |
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" |
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282 |
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" |
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283 |
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" |
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284 |
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" |
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285 |
#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 |
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286 |
rcmd=functions.SimpleLinearRegression |
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287 |
#rcmd=functions.VotedPerceptron -I 1 -E 1.0 -S 1 -M 10000 |
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288 |
rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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289 |
rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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291 |
#rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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292 |
#rcmd=lazy.IBk -K 1 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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293 |
#rcmd=lazy.IBk -K 1 -W 0 -A weka.core.neighboursearch.LinearNNSearch -A "weka.core.EuclideanDistance -R first-last" |
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#rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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295 |
#rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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296 |
#rcmd=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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297 |
#rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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298 |
#rcmd=lazy.IBk -K 1 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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299 |
#rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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#rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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301 |
#rcmd=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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302 |
#rcmd=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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303 |
#rcmd=lazy.IBk -K 1 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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304 |
#rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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305 |
#rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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#rcmd=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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307 |
#rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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308 |
#rcmd=lazy.IBk -K 1 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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309 |
#rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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#rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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#rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last -V\"" |
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#rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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#rcmd=lazy.IBk -K 2 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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314 |
#rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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315 |
#rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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#rcmd=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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317 |
#rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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318 |
#rcmd=lazy.IBk -K 2 -W 0 -E -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -R first-last\"" |
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#rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\"" |
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320 |
#rcmd=lazy.IBk -K 2 -W 0 -E -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\"" |
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324 |
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#rcmd=lazy.IBk -K 2 -W 0 -I -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ManhattanDistance -D -R first-last\"" |
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329 |
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330 |
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332 |
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333 |
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335 |
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