DEVELOPMENT... OpenML
Run
20084

Run 20084

Task 2067 (Supervised Classification) solar-flare Uploaded 18-06-2014 by Felicia West
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Flow

weka.RotationForest_PrincipalComponents_J48(1)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.J48(1)_C0.25
weka.J48(1)_M2
weka.PrincipalComponents(1)_A5
weka.PrincipalComponents(1)_M-1
weka.PrincipalComponents(1)_R1.0
weka.RotationForest_PrincipalComponents_J48(1)_Fweka.filters.unsupervised.attribute.PrincipalComponents
weka.RotationForest_PrincipalComponents_J48(1)_G3
weka.RotationForest_PrincipalComponents_J48(1)_H3
weka.RotationForest_PrincipalComponents_J48(1)_I40
weka.RotationForest_PrincipalComponents_J48(1)_P50
weka.RotationForest_PrincipalComponents_J48(1)_S1
weka.RotationForest_PrincipalComponents_J48(1)_Wweka.classifiers.trees.J48
weka.RotationForest_PrincipalComponents_J48(1)_num-slots1

Result files

xml
Description

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

arff
Predictions

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

19 Evaluation measures

Area under ROC curve
0.3429
Per class
F measure
0.9676
Per class
KB relative information score
2.8678
Mean absolute error
0.0424
Mean prior absolute error
0.0452
Number of instances
323
Per class
OS information
[Oracle Corporation, 1.7.0_04, x86_64, Mac OS X, 10.9.3]
Precision
0.9571
Per class
Predictive accuracy
0.9783
Prior entropy
0.1666
Recall
0.9783
Per class
Relative absolute error
0.9387
Root mean prior squared error
0.1456
Root mean squared error
0.1458
Root relative squared error
1.001
SciMark benchmark
1432.061[991.89119127936541229.7096166557103668.16541907933131348.47736228598272922.061587806865]