OpenML
26060

Run 26060

Task 59 (Supervised Classification) iris Uploaded 07-10-2014 by Joaquin Vanschoren
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weka.RotationForest_PrincipalComponents_DecisionStump(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.PrincipalComponents(2)_A5
weka.PrincipalComponents(2)_M-1
weka.PrincipalComponents(2)_R1.0
weka.RotationForest_PrincipalComponents_DecisionStump(2)_G3
weka.RotationForest_PrincipalComponents_DecisionStump(2)_H3
weka.RotationForest_PrincipalComponents_DecisionStump(2)_P50
weka.RotationForest_PrincipalComponents_DecisionStump(2)_Fweka.filters.unsupervised.attribute.PrincipalComponents
weka.RotationForest_PrincipalComponents_DecisionStump(2)_S1
weka.RotationForest_PrincipalComponents_DecisionStump(2)_num-slots1
weka.RotationForest_PrincipalComponents_DecisionStump(2)_I40
weka.RotationForest_PrincipalComponents_DecisionStump(2)_Wweka.classifiers.trees.DecisionStump

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.

17 Evaluation measures

Area under ROC curve
0.832
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6032
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5
Cross-validation details (10-fold Crossvalidation)
KB relative information score
86.324
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2243
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)
Precision
0.6667
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6667
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.6667
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5047
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3338
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7082
Cross-validation details (10-fold Crossvalidation)