Run
251684

Run 251684

Task 4389 (Supervised Classification) delta_elevators Uploaded 04-03-2015 by Joaquin Vanschoren
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Flow

weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_J48(1)Weka implementation of AttributeSelectedClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_J48(1)_Eweka.attributeSelection.PrincipalComponents
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_J48(1)_Sweka.attributeSelection.Ranker
weka.AttributeSelectedClassifier_PrincipalComponents_Ranker_J48(1)_Wweka.classifiers.trees.J48
weka.PrincipalComponents(11)_R0.95
weka.PrincipalComponents(11)_A5
weka.Ranker(2)_T-1.7976931348623157E308
weka.Ranker(2)_N-1

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
0.8987
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.8567
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.7134
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
60144.424
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.1959
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
95170
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8568
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.8567
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.8567
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.3917
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.3408
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
0.6815
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1339.944
UserCPU time millis
240
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis testing
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
220
Cross-validation details (10 times 10-fold Crossvalidation)