RandomForest

=== Evaluation result ===

Scheme: RandomForest
Options: -P 100 -I 100 -num-slots 1 -K 2 -M 1.0 -V 0.001 -S 1
Relation: dataset_tnpu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast


Correlation coefficient                  0.0934
Mean absolute error                    147.0469
Root mean squared error                244.1619
Relative absolute error                114.6004 %
Root relative squared error            114.008  %
Total Number of Instances              279     
IBk

=== Evaluation result ===

Scheme: IBk
Options: -K 5 -W 0 -F -A "weka.core.neighboursearch.LinearNNSearch -A \"weka.core.ChebyshevDistance -R first-last\""
Relation: dataset_tnpu.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                  0.1089
Mean absolute error                    137.1414
Root mean squared error                224.1088
Relative absolute error                106.8805 %
Root relative squared error            104.6446 %
Total Number of Instances              279     
LinearRegression

=== Evaluation result ===

Scheme: LinearRegression
Options: -S 0 -R 1.0E-8 -num-decimal-places 4
Relation: dataset_tnpu.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                  0.1418
Mean absolute error                    132.8875
Root mean squared error                213.1722
Relative absolute error                103.5653 %
Root relative squared error             99.5378 %
Total Number of Instances              279     
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 5.0 -C 250007"
Relation: dataset_tnpu.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                  0.1693
Mean absolute error                    114.3599
Root mean squared error                219.5401
Relative absolute error                 89.1259 %
Root relative squared error            102.5113 %
Total Number of Instances              279     
MultilayerPerceptron

=== Evaluation result ===

Scheme: MultilayerPerceptron
Options: -L 0.1 -M 0.1 -N 500 -V 0 -S 0 -E 20 -H 10 -D
Relation: dataset_tnpu.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                  0.1825
Mean absolute error                    124.7944
Root mean squared error                210.0268
Relative absolute error                 97.258  %
Root relative squared error             98.0692 %
Total Number of Instances              279     
