Run
2343034

Run 2343034

Task 41 (Supervised Classification) soybean Uploaded 25-05-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_SMO_RBFKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_RBFKernel(8)_C1.0
weka.SMO_RBFKernel(8)_N0
weka.SMO_RBFKernel(8)_L0.001
weka.SMO_RBFKernel(8)_P1.0E-12
weka.SMO_RBFKernel(8)_V-1
weka.SMO_RBFKernel(8)_W1
weka.SMO_RBFKernel(8)_Kweka.classifiers.functions.supportVector.RBFKernel
weka.SMO_RBFKernel(8)_calibratortrue
weka.RBFKernel(5)_G0.01
weka.RBFKernel(5)_C250007
weka.AttributeSelectedClassifier_SMO_RBFKernel(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_RBFKernel(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_SMO_RBFKernel(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
0.9709 ± 0.0111
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8262 ± 0.0373
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8333 ± 0.038
Cross-validation details (10-fold Crossvalidation)
KB relative information score
125.7352 ± 0.2353
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0944 ± 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
0.8336 ± 0.037
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8492 ± 0.0343
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.8572
Cross-validation details (10-fold Crossvalidation)
Recall
0.8492 ± 0.0343
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9819 ± 0.0005
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
0.2134 ± 0.0001
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9737 ± 0.0005
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1451.0766
UserCPU time millis
1650
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
1080
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
570
Cross-validation details (10-fold Crossvalidation)