Run
2346680

Run 2346680

Task 29 (Supervised Classification) credit-approval 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)_C10.0
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)_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
0.8604 ± 0.0393
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8584 ± 0.0408
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7148 ± 0.0805
Cross-validation details (10-fold Crossvalidation)
KB relative information score
490.5101 ± 5.7376
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.142 ± 0.0409
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.494 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Number of instances
690
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8612 ± 0.0383
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.858 ± 0.0409
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9913
Cross-validation details (10-fold Crossvalidation)
Recall
0.858 ± 0.0409
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2875 ± 0.0827
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.497 ± 0.0008
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3769 ± 0.0526
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7583 ± 0.1058
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1599.3818
UserCPU time millis
680
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
670
Cross-validation details (10-fold Crossvalidation)