Run
6060362

Run 6060362

Task 2073 (Supervised Classification) yeast Uploaded 03-08-2017 by Miguel Cachada
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Flow

weka.AttributeSelectedClassifier_SMO_RBFKernel(2)Weka implementation of AttributeSelectedClassifier
weka.SMO_RBFKernel(8)_C0.9147069034605638
weka.SMO_RBFKernel(8)_N1
weka.SMO_RBFKernel(8)_L0.001
weka.SMO_RBFKernel(8)_P1.0E-12
weka.SMO_RBFKernel(8)_Mtrue
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)_G0.03884936851370842
weka.RBFKernel(5)_C250007
weka.AttributeSelectedClassifier_SMO_RBFKernel(2)_Eweka.attributeSelection.CfsSubsetEval -M -P 1 -E 1
weka.AttributeSelectedClassifier_SMO_RBFKernel(2)_Sweka.attributeSelection.GreedyStepwise -R -T -1.7976931348623157E308 -N -1 -num-slots 1
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
0.8387
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5906
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4762
Cross-validation details (10-fold Crossvalidation)
KB relative information score
700.3178
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1042
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1555
Cross-validation details (10-fold Crossvalidation)
Number of instances
1484
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.596
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5977
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.5035
Cross-validation details (10-fold Crossvalidation)
Recall
0.5977
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.67
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2787
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2297
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.8242
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1791.3351
UserCPU time millis
1480
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
610
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
870
Cross-validation details (10-fold Crossvalidation)