Run
3798363

Run 3798363

Task 58 (Supervised Classification) waveform-5000 Uploaded 03-07-2017 by Miguel Cachada
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.FilteredClassifier_LogitBoost_DecisionStump(1)Weka implementation of FilteredClassifier
weka.LogitBoost_DecisionStump(11)_P100
weka.LogitBoost_DecisionStump(11)_L-1.7976931348623157E308
weka.LogitBoost_DecisionStump(11)_H1.0
weka.LogitBoost_DecisionStump(11)_Z3.0
weka.LogitBoost_DecisionStump(11)_O1
weka.LogitBoost_DecisionStump(11)_E1
weka.LogitBoost_DecisionStump(11)_S1
weka.LogitBoost_DecisionStump(11)_I10
weka.LogitBoost_DecisionStump(11)_Wweka.classifiers.trees.DecisionStump
weka.FilteredClassifier_LogitBoost_DecisionStump(1)_Fweka.filters.unsupervised.attribute.Standardize
weka.FilteredClassifier_LogitBoost_DecisionStump(1)_Wweka.classifiers.meta.LogitBoost

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
0.9579
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.832
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7483
Cross-validation details (10-fold Crossvalidation)
KB relative information score
3521.2209
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1578
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (10-fold Crossvalidation)
Number of instances
5000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
['Oracle Corporation', '1.8.0_131', 'amd64', 'Linux', '4.8.0-51-generic']
Precision
0.8323
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8322
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.5849
Cross-validation details (10-fold Crossvalidation)
Recall
0.8322
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.355
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2781
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.59
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1469.4472
UserCPU time millis
930
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
920
Cross-validation details (10-fold Crossvalidation)