Run
1973798

Run 1973798

Task 145682 (Supervised Classification) spectrometer Uploaded 04-04-2017 by Daan Dinkla
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Flow

weka.Stacking_AttributeSelectedClassifier(1)David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259.
weka.Stacking_AttributeSelectedClassifier(1)_Mtrue
weka.Stacking_AttributeSelectedClassifier(1)_X10
weka.Stacking_AttributeSelectedClassifier(1)_S1
weka.Stacking_AttributeSelectedClassifier(1)_num-slots1
weka.Stacking_AttributeSelectedClassifier(1)_Bweka.classifiers.meta.AttributeSelectedClassifier -E "weka.attributeSelection.PrincipalComponents -R 0.95 -A 5" -S "weka.attributeSelection.Ranker -T -1.7976931348623157E308 -N -1" -W weka.classifiers.trees.RandomForest -- -P 100 -I 300 -num-slots 1 -K 0 -M 1.0 -V 0.001 -S 1 -num-decimal-places 3

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
0.7703
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2061
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1818
Cross-validation details (10-fold Crossvalidation)
KB relative information score
22.3749
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0402
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
0.2051
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2298
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.2298
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0132
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1411
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0036
Cross-validation details (10-fold Crossvalidation)