Run
6058242

Run 6058242

Task 33 (Supervised Classification) cylinder-bands Uploaded 31-07-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_SMO_PolyKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_PolyKernel(15)_C0.6165066070649212
weka.SMO_PolyKernel(15)_N0
weka.SMO_PolyKernel(15)_L0.001
weka.SMO_PolyKernel(15)_P1.0E-12
weka.SMO_PolyKernel(15)_Mtrue
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)_E2.3981293815449
weka.PolyKernel(11)_C250007
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Eweka.attributeSelection.CfsSubsetEval -L -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Sweka.attributeSelection.GreedyStepwise -B -R -T -1.7976931348623157E308 -N -1 -num-slots 1
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_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.

22 Evaluation measures

Area under ROC curve
0.8497
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.832
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6568
Cross-validation details (10-fold Crossvalidation)
KB relative information score
352.283
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1676
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4879
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8331
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8315
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9826
Cross-validation details (10-fold Crossvalidation)
Recall
0.8315
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3436
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4062
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8223
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1835.6186
UserCPU time millis
940
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
300
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
640
Cross-validation details (10-fold Crossvalidation)