Run
3960335

Run 3960335

Task 33 (Supervised Classification) cylinder-bands Uploaded 04-07-2017 by Miguel Cachada
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Flow

weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_IBk(1)Weka implementation of FilteredClassifier
weka.IBk(11)_K1
weka.IBk(11)_W0
weka.IBk(11)_Atrue
weka.Bagging_IBk(6)_P100
weka.Bagging_IBk(6)_S1
weka.Bagging_IBk(6)_num-slots1
weka.Bagging_IBk(6)_I10
weka.Bagging_IBk(6)_Wweka.classifiers.lazy.IBk
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_IBk(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_AttributeSelectedClassifier_Bagging_IBk(1)_Wweka.classifiers.meta.AttributeSelectedClassifier
weka.AttributeSelectedClassifier_Bagging_IBk(2)_Eweka.attributeSelection.CfsSubsetEval -P 1 -E 1
weka.AttributeSelectedClassifier_Bagging_IBk(2)_Sweka.attributeSelection.BestFirst -D 1 -N 5
weka.AttributeSelectedClassifier_Bagging_IBk(2)_Wweka.classifiers.meta.Bagging

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
0.7184
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.704
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.3937
Cross-validation details (10-fold Crossvalidation)
KB relative information score
179.5276
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.3292
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4879
Cross-validation details (10-fold Crossvalidation)
Number of instances
540
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.7272
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7185
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9826
Cross-validation details (10-fold Crossvalidation)
Recall
0.7185
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6746
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4939
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.4812
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9743
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1620.8097
UserCPU time millis
180
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
160
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10-fold Crossvalidation)