Run
2847895

Run 2847895

Task 23 (Supervised Classification) cmc Uploaded 27-06-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_SMO_RBFKernel(1)Weka implementation of FilteredClassifier
weka.SMO_RBFKernel(8)_C0.1
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
weka.FilteredClassifier_AttributeSelectedClassifier_SMO_RBFKernel(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_SMO_RBFKernel(1)_Wweka.classifiers.meta.AttributeSelectedClassifier

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
0.5
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.2556
Per class
Cross-validation details (10-fold Crossvalidation)
KB relative information score
172.9753
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3998
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4308
Cross-validation details (10-fold Crossvalidation)
Number of instances
1473
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.1823
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.427
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.427
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.928
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5016
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0809
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1527.089
UserCPU time millis
2100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
400
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
1700
Cross-validation details (10-fold Crossvalidation)