Run
2346235

Run 2346235

Task 2079 (Supervised Classification) eucalyptus 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
0.8034 ± 0.0163
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.4355 ± 0.0232
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3631 ± 0.0383
Cross-validation details (10-fold Crossvalidation)
KB relative information score
198.7208 ± 0.7944
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2691 ± 0.0021
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.3132 ± 0.0003
Cross-validation details (10-fold Crossvalidation)
Number of instances
736
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.3985 ± 0.022
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5272 ± 0.0303
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.5272 ± 0.0303
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.859 ± 0.0064
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3957 ± 0.0004
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3588 ± 0.0029
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9067 ± 0.0072
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1520.0248
UserCPU time millis
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10-fold Crossvalidation)