Run
2081522

Run 2081522

Task 145682 (Supervised Classification) spectrometer Uploaded 21-04-2017 by Irma van den Brandt
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Flow

weka.RotationForest_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.RandomForest(12)_P100
weka.RandomForest(12)_I100
weka.RandomForest(12)_num-slots1
weka.RandomForest(12)_K0
weka.RandomForest(12)_M1.0
weka.RandomForest(12)_V0.001
weka.RandomForest(12)_S1
weka.RotationForest_RandomForest(1)_G3
weka.RotationForest_RandomForest(1)_H3
weka.RotationForest_RandomForest(1)_P50
weka.RotationForest_RandomForest(1)_Fweka.filters.unsupervised.attribute.PrincipalComponents -R 1.0 -A 5 -M -1
weka.RotationForest_RandomForest(1)_S1
weka.RotationForest_RandomForest(1)_num-slots1
weka.RotationForest_RandomForest(1)_I10
weka.RotationForest_RandomForest(1)_Wweka.classifiers.trees.RandomForest

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
0.9516
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5603
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.567
Cross-validation details (10-fold Crossvalidation)
KB relative information score
300.5142
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0265
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
0.548
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5913
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.5913
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6684
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1096
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7792
Cross-validation details (10-fold Crossvalidation)