Run
2338825

Run 2338825

Task 31 (Supervised Classification) credit-g Uploaded 24-05-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_SMO_PolyKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_PolyKernel(15)_C0.1
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)_E2.0
weka.PolyKernel(11)_C250007
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
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
0.6445 ± 0.0533
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.722 ± 0.044
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3158 ± 0.1083
Cross-validation details (10-fold Crossvalidation)
KB relative information score
328.2286 ± 8.2524
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.263 ± 0.0323
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4202
Cross-validation details (10-fold Crossvalidation)
Number of instances
1000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7202 ± 0.0415
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.737 ± 0.0323
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.8818
Cross-validation details (10-fold Crossvalidation)
Recall
0.737 ± 0.0323
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.626 ± 0.077
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4583
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5128 ± 0.0318
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.1191 ± 0.0695
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1560.4148
UserCPU time millis
260
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
240
Cross-validation details (10-fold Crossvalidation)