Run
2040444

Run 2040444

Task 145682 (Supervised Classification) spectrometer Uploaded 11-04-2017 by Wouter Nuijten
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Flow

weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_SMO_P olyKernel(1)Weka implementation of FilteredClassifier
weka.SMO_PolyKernel(15)_C1.0
weka.SMO_PolyKernel(15)_N0
weka.SMO_PolyKernel(15)_L0.001
weka.SMO_PolyKernel(15)_P1.0E-12
weka.SMO_PolyKernel(15)_V-1
weka.SMO_PolyKernel(15)_W1
weka.SMO_PolyKernel(15)_Kweka.classifiers.functions.supportVector.PolyKernel
weka.SMO_PolyKernel(15)_calibratortrue
weka.PolyKernel(11)_E1.0
weka.PolyKernel(11)_C250007
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_SMO_PolyKernel(1)_Fweka.filters.unsupervised.attribute.InterquartileRange -R first-last -O 3.0 -E 6.0
weka.FilteredClassifier_FilteredClassifier_FilteredClassifier_Bagging_SMO_PolyKernel(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_FilteredClassifier_Bagging_SMO_PolyKernel(1)_Fweka.filters.unsupervised.instance.RemoveWithValues -S 0.0 -C 103 -L 2
weka.FilteredClassifier_FilteredClassifier_Bagging_SMO_PolyKernel(1)_Wweka.classifiers.meta.FilteredClassifier
weka.FilteredClassifier_Bagging_SMO_PolyKernel(1)_Fweka.filters.unsupervised.attribute.PrincipalComponents -R 0.95 -A 5 -M 16
weka.FilteredClassifier_Bagging_SMO_PolyKernel(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_SMO_PolyKernel(3)_P100
weka.Bagging_SMO_PolyKernel(3)_S1
weka.Bagging_SMO_PolyKernel(3)_num-slots1
weka.Bagging_SMO_PolyKernel(3)_I10
weka.Bagging_SMO_PolyKernel(3)_Wweka.classifiers.functions.SMO

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
0.8159
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.1738
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.226
Cross-validation details (10-fold Crossvalidation)
KB relative information score
23.2745
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0401
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
0.1321
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2863
Cross-validation details (10-fold Crossvalidation)
Prior entropy
4.8467
Cross-validation details (10-fold Crossvalidation)
Recall
0.2863
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0126
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1406
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.141
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.003
Cross-validation details (10-fold Crossvalidation)