Run
15115

Run 15115

Task 59 (Supervised Classification) iris Uploaded 03-06-2014 by Joaquin Vanschoren
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Flow

weka.RotationForest_PrincipalComponents_RandomForest(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.PrincipalComponents(1)_A5
weka.PrincipalComponents(1)_M-1
weka.PrincipalComponents(1)_R1.0
weka.RandomForest(1)_I10
weka.RandomForest(1)_K0
weka.RandomForest(1)_S1
weka.RandomForest(1)_num-slots1
weka.RotationForest_PrincipalComponents_RandomForest(1)_Fweka.filters.unsupervised.attribute.PrincipalComponents
weka.RotationForest_PrincipalComponents_RandomForest(1)_G3
weka.RotationForest_PrincipalComponents_RandomForest(1)_H3
weka.RotationForest_PrincipalComponents_RandomForest(1)_I80
weka.RotationForest_PrincipalComponents_RandomForest(1)_P50
weka.RotationForest_PrincipalComponents_RandomForest(1)_S1
weka.RotationForest_PrincipalComponents_RandomForest(1)_Wweka.classifiers.trees.RandomForest
weka.RotationForest_PrincipalComponents_RandomForest(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.

17 Evaluation measures

Area under ROC curve
0.9977
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.94
Cross-validation details (10-fold Crossvalidation)
KB relative information score
138.2236
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0446
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
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.96
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (10-fold Crossvalidation)
Recall
0.96
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1004
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.127
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2695
Cross-validation details (10-fold Crossvalidation)