Run
2340592

Run 2340592

Task 2079 (Supervised Classification) eucalyptus 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)_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
0.8654 ± 0.0182
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.6166 ± 0.0415
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.5127 ± 0.0524
Cross-validation details (10-fold Crossvalidation)
KB relative information score
236.4177 ± 0.9619
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2601 ± 0.0023
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
0.6162 ± 0.0456
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.6182 ± 0.0422
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.2629
Cross-validation details (10-fold Crossvalidation)
Recall
0.6182 ± 0.0422
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.8304 ± 0.0079
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
0.346 ± 0.0034
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8743 ± 0.0091
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1493.631
UserCPU time millis
850
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
800
Cross-validation details (10-fold Crossvalidation)