RandomForest

=== Evaluation result ===

Scheme: RandomForest
Options: -P 100 -I 100 -num-slots 1 -K 9 -M 1.0 -V 0.001 -S 1
Relation: dataset_tau.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast


Correlation coefficient                  0.2874
Mean absolute error                      0.2785
Root mean squared error                  0.3425
Relative absolute error                 92.7693 %
Root relative squared error            102.1878 %
Total Number of Instances              400     
IBk

=== Evaluation result ===

Scheme: IBk
Options: -K 3 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.FilteredDistance -R first-last -F \\\"weka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1\\\" -D \\\"weka.core.EuclideanDistance -R first-last\\\"\""
Relation: dataset_tau.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.LinearRegression -F 5 -T 0.01 -R 1 -E DEFAULT -- -S 1 -C -R 1.0E-8 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correlation coefficient                  0.2152
Mean absolute error                      0.2841
Root mean squared error                  0.352 
Relative absolute error                 94.6575 %
Root relative squared error            105.0059 %
Total Number of Instances              400     
LinearRegression

=== Evaluation result ===

Scheme: LinearRegression
Options: -S 0 -R 1.0E-8 -num-decimal-places 4
Relation: dataset_tau.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.LinearRegression -F 5 -T 0.01 -R 1 -E DEFAULT -- -S 1 -C -R 1.0E-8 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correlation coefficient                  0.3641
Mean absolute error                      0.267 
Root mean squared error                  0.312 
Relative absolute error                 88.9482 %
Root relative squared error             93.091  %
Total Number of Instances              400     
SMOreg

=== Evaluation result ===

Scheme: SMOreg
Options: -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.NormalizedPolyKernel -E 2.0 -C 250007"
Relation: dataset_tau.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.LinearRegression -F 5 -T 0.01 -R 1 -E DEFAULT -- -S 1 -C -R 1.0E-8 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correlation coefficient                  0.2858
Mean absolute error                      0.2711
Root mean squared error                  0.343 
Relative absolute error                 90.3001 %
Root relative squared error            102.3219 %
Total Number of Instances              400     
MultilayerPerceptron

=== Evaluation result ===

Scheme: MultilayerPerceptron
Options: -L 0.1 -M 0.1 -N 500 -V 0 -S 0 -E 20 -H 40 -D
Relation: dataset_tau.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast-weka.filters.supervised.attribute.AttributeSelection-Eweka.attributeSelection.WrapperSubsetEval -B weka.classifiers.functions.LinearRegression -F 5 -T 0.01 -R 1 -E DEFAULT -- -S 1 -C -R 1.0E-8 -num-decimal-places 4-Sweka.attributeSelection.LinearForwardSelection -D 1 -N 5 -I -K 50 -T 0


Correlation coefficient                  0.3628
Mean absolute error                      0.2674
Root mean squared error                  0.3121
Relative absolute error                 89.0701 %
Root relative squared error             93.1242 %
Total Number of Instances              400     
