Run
5066336

Run 5066336

Task 23 (Supervised Classification) cmc Uploaded 09-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_JRip(1)Weka implementation of FilteredClassifier
weka.JRip(7)_F3
weka.JRip(7)_N2.0
weka.JRip(7)_O2
weka.JRip(7)_S1
weka.MultiBoostAB_JRip(4)_C3
weka.MultiBoostAB_JRip(4)_P100
weka.MultiBoostAB_JRip(4)_S1
weka.MultiBoostAB_JRip(4)_I10
weka.MultiBoostAB_JRip(4)_Wweka.classifiers.rules.JRip
weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_JRip(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_JRip(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_MultiBoostAB_JRip(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_MultiBoostAB_JRip(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_MultiBoostAB_JRip(2)_Wweka.classifiers.meta.MultiBoostAB

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
0.6331
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.5158
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.2496
Cross-validation details (10-fold Crossvalidation)
KB relative information score
183.7613
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.4036
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
0.5305
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.5343
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5392
Cross-validation details (10-fold Crossvalidation)
Recall
0.5343
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.9368
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4641
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4506
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9708
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1425.3153
UserCPU time millis
40
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
40
Cross-validation details (10-fold Crossvalidation)