Run
6046555

Run 6046555

Task 20 (Supervised Classification) mfeat-pixel Uploaded 25-07-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_SMO_PolyKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_PolyKernel(15)_C0.5411801195945107
weka.SMO_PolyKernel(15)_N2
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)_E4.6567868671882815
weka.PolyKernel(11)_C250007
weka.AttributeSelectedClassifier_SMO_PolyKernel(2)_Eweka.attributeSelection.CfsSubsetEval -M -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
0.9953 ± 0.0037
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9785 ± 0.0062
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9761 ± 0.007
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1948.4961 ± 1.2297
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.006 ± 0.0012
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9788 ± 0.0058
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9785 ± 0.0063
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.9785 ± 0.0063
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0333 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0633 ± 0.0098
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.2112 ± 0.0328
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1516.8464
UserCPU time millis
80880
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
56730
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
24150
Cross-validation details (10-fold Crossvalidation)