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_position_tnpu.traintest-weka.filters.unsupervised.attribute.ClassAssigner-Clast


Correlation coefficient                  0.0375
Mean absolute error                    139.2233
Root mean squared error                239.4983
Relative absolute error                110.1503 %
Root relative squared error            115.4695 %
Total Number of Instances              309     
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_position_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                 -0.0297
Mean absolute error                    138.6884
Root mean squared error                227.5959
Relative absolute error                109.7271 %
Root relative squared error            109.731  %
Total Number of Instances              309     
LinearRegression

=== Evaluation result ===

Scheme: LinearRegression
Options: -S 0 -R 1.0E-8 -num-decimal-places 4
Relation: dataset_position_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                  0.1884
Mean absolute error                    130.6948
Root mean squared error                206.8397
Relative absolute error                103.4027 %
Root relative squared error             99.7238 %
Total Number of Instances              309     
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_position_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                  0.1026
Mean absolute error                    121.857 
Root mean squared error                222.5961
Relative absolute error                 96.4104 %
Root relative squared error            107.3204 %
Total Number of Instances              309     
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_position_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                  0.2126
Mean absolute error                    122.6232
Root mean squared error                202.1709
Relative absolute error                 97.0167 %
Root relative squared error             97.4728 %
Total Number of Instances              309     
