Run
2342816

Run 2342816

Task 219 (Supervised Classification) electricity 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)_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
0.7009 ± 0.0158
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7172 ± 0.0168
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4252 ± 0.0318
Cross-validation details (10-fold Crossvalidation)
KB relative information score
20450.3346 ± 126.2657
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2654 ± 0.0135
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4886 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
45312
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7554 ± 0.012
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7346 ± 0.0135
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9835
Cross-validation details (10-fold Crossvalidation)
Recall
0.7346 ± 0.0135
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5432 ± 0.0276
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4943 ± 0
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5152 ± 0.0129
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0423 ± 0.0261
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1478.961
UserCPU time millis
7703530
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
120100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
7583430
Cross-validation details (10-fold Crossvalidation)