RandomForest

=== Evaluation result ===

Scheme: RandomForest
Options: -P 100 -I 100 -num-slots 1 -K 10 -M 1.0 -V 0.001 -S 1
Relation: dataset_au.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast


Correlation coefficient                  0.3403
Mean absolute error                      0.2926
Root mean squared error                  0.3677
Relative absolute error                 86.7155 %
Root relative squared error             98.7168 %
Total Number of Instances              400     
IBk

=== Evaluation result ===

Scheme: IBk
Options: -K 4 -W 0 -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.EuclideanDistance -R first-last\""
Relation: dataset_au.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                  0.2644
Mean absolute error                      0.3056
Root mean squared error                  0.3775
Relative absolute error                 90.5656 %
Root relative squared error            101.3527 %
Total Number of Instances              400     
LinearRegression

=== Evaluation result ===

Scheme: LinearRegression
Options: -S 0 -R 1.0E-8 -num-decimal-places 4
Relation: dataset_au.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                  0.3472
Mean absolute error                      0.2997
Root mean squared error                  0.3506
Relative absolute error                 88.8158 %
Root relative squared error             94.1264 %
Total Number of Instances              400     
MultilayerPerceptron

=== Evaluation result ===

Scheme: MultilayerPerceptron
Options: -L 0.2 -M 0.5 -N 500 -V 0 -S 0 -E 20 -H 10 -D
Relation: dataset_au.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                  0.3706
Mean absolute error                      0.2953
Root mean squared error                  0.3471
Relative absolute error                 87.5273 %
Root relative squared error             93.1962 %
Total Number of Instances              400     
SMOreg

=== Evaluation result ===

Scheme: SMOreg
Options: -C 6.0 -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 4.0 -C 250007"
Relation: dataset_au.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                  0.3563
Mean absolute error                      0.29  
Root mean squared error                  0.3817
Relative absolute error                 85.9462 %
Root relative squared error            102.4822 %
Total Number of Instances              400     
