Run
2346218

Run 2346218

Task 45 (Supervised Classification) splice Uploaded 25-05-2017 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)_E1.0
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
0.9763 ± 0.0071
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9594 ± 0.0123
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9342 ± 0.02
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1842.0179 ± 2.7025
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2322 ± 0.0032
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4101 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
3190
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.96 ± 0.0119
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9592 ± 0.0125
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.4804
Cross-validation details (10-fold Crossvalidation)
Recall
0.9592 ± 0.0125
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5662 ± 0.0077
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4528 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2898 ± 0.0054
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6401 ± 0.0119
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1680.6308
UserCPU time millis
700
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
690
Cross-validation details (10-fold Crossvalidation)