Run
5056234

Run 5056234

Task 22 (Supervised Classification) mfeat-zernike Uploaded 09-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_IBk(1)Weka implementation of FilteredClassifier
weka.IBk(11)_K1
weka.IBk(11)_W0
weka.IBk(11)_Atrue
weka.MultiBoostAB_IBk(4)_C3
weka.MultiBoostAB_IBk(4)_P100
weka.MultiBoostAB_IBk(4)_S1
weka.MultiBoostAB_IBk(4)_I10
weka.MultiBoostAB_IBk(4)_Wweka.classifiers.lazy.IBk
weka.AttributeSelectedClassifier_MultiBoostAB_IBk(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_MultiBoostAB_IBk(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_MultiBoostAB_IBk(2)_Wweka.classifiers.meta.MultiBoostAB
weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_IBk(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_MultiBoostAB_IBk(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
0.8833
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7927
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7678
Cross-validation details (10-fold Crossvalidation)
KB relative information score
1559.5498
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0426
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7947
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.791
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.791
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2365
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2039
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6796
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1500.8005
UserCPU time millis
1180
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
550
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
630
Cross-validation details (10-fold Crossvalidation)