Run
2081339

Run 2081339

Task 145682 (Supervised Classification) spectrometer Uploaded 20-04-2017 by Irma van den Brandt
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Flow

weka.RotationForest_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(38)_C0.25
weka.J48(38)_M2
weka.RotationForest_J48(1)_G3
weka.RotationForest_J48(1)_H3
weka.RotationForest_J48(1)_P50
weka.RotationForest_J48(1)_Fweka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1
weka.RotationForest_J48(1)_S1
weka.RotationForest_J48(1)_num-slots1
weka.RotationForest_J48(1)_I10
weka.RotationForest_J48(1)_Wweka.classifiers.trees.J48

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
0.9448
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5857
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5836
Cross-validation details (10-fold Crossvalidation)
KB relative information score
325.9404
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0229
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0396
Cross-validation details (10-fold Crossvalidation)
Number of instances
531
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.573
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6064
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.6064
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5766
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1058
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7523
Cross-validation details (10-fold Crossvalidation)