Run
26024

Run 26024

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Joaquin Vanschoren
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Flow

weka.RotationForest_PrincipalComponents_MultilayerPerceptron(2)Juan J. Rodriguez, Ludmila I. Kuncheva, Carlos J. Alonso (2006). Rotation Forest: A new classifier ensemble method. IEEE Transactions on Pattern Analysis and Machine Intelligence. 28(10):1619-1630. URL http://doi.ieeecomputersociety.org/10.1109/TPAMI.2006.211.
weka.MultilayerPerceptron(2)_E20
weka.MultilayerPerceptron(2)_Ha
weka.MultilayerPerceptron(2)_L0.3
weka.MultilayerPerceptron(2)_M0.2
weka.MultilayerPerceptron(2)_N500
weka.MultilayerPerceptron(2)_S0
weka.MultilayerPerceptron(2)_V0
weka.PrincipalComponents(2)_A5
weka.PrincipalComponents(2)_M-1
weka.PrincipalComponents(2)_R1.0
weka.RotationForest_PrincipalComponents_MultilayerPerceptron(2)_G3
weka.RotationForest_PrincipalComponents_MultilayerPerceptron(2)_H3
weka.RotationForest_PrincipalComponents_MultilayerPerceptron(2)_P50
weka.RotationForest_PrincipalComponents_MultilayerPerceptron(2)_Fweka.filters.unsupervised.attribute.PrincipalComponents
weka.RotationForest_PrincipalComponents_MultilayerPerceptron(2)_S1
weka.RotationForest_PrincipalComponents_MultilayerPerceptron(2)_num-slots1
weka.RotationForest_PrincipalComponents_MultilayerPerceptron(2)_I80
weka.RotationForest_PrincipalComponents_MultilayerPerceptron(2)_Wweka.classifiers.functions.MultilayerPerceptron

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9971
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
8.3527
Cross-validation details (10-fold Crossvalidation)
Build memory
407982382.4
Cross-validation details (10-fold Crossvalidation)
F measure
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.96
Cross-validation details (10-fold Crossvalidation)
KB relative information score
141.5455
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0309
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
150
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_67, x86_64, Mac OS X, 10.9.5]
Precision
0.9738
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9733
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.9733
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0696
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1281
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2717
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1684.5627[1030.87506356800871236.019877575262663.41787321353561358.25910427125654134.241798736152]