Run
2338873

Run 2338873

Task 41 (Supervised Classification) soybean 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)_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
0.9892 ± 0.0067
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9396 ± 0.0335
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9342 ± 0.0354
Cross-validation details (10-fold Crossvalidation)
KB relative information score
128.9094 ± 0.2473
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0942 ± 0
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.0961 ± 0
Cross-validation details (10-fold Crossvalidation)
Number of instances
683
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.9418 ± 0.0321
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.94 ± 0.0324
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.8572
Cross-validation details (10-fold Crossvalidation)
Recall
0.94 ± 0.0324
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9803 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2191 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.213 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9722 ± 0.0002
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1468.6151
UserCPU time millis
990
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
330
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
660
Cross-validation details (10-fold Crossvalidation)