Run
2338664

Run 2338664

Task 2075 (Supervised Classification) abalone 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)_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
0.7261 ± 0.0105
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2063 ± 0.0205
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.1346 ± 0.0266
Cross-validation details (10-fold Crossvalidation)
KB relative information score
238.5158 ± 0.3814
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0646 ± 0
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0618 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
4177
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.1916 ± 0.0231
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.2526 ± 0.0226
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.6268
Cross-validation details (10-fold Crossvalidation)
Recall
0.2526 ± 0.0226
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
1.0461 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.1757 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1782 ± 0
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0144 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1497.1176
UserCPU time millis
6000
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
50
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
5950
Cross-validation details (10-fold Crossvalidation)