Run
437742

Run 437742

Task 7536 (Learning Curve) monks-problems-3 Uploaded 13-05-2015 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
0.9708 ± 0.0305
Per class
F measure
0.9729 ± 0.0388
Per class
Kappa
0.9457 ± 0.0779
KB relative information score
0.926 ± 0.0731
Mean absolute error
0.0404 ± 0.0357
Mean prior absolute error
0.4992 ± 0.0003
Number of instances
554
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9732 ± 0.0372
Per class
Predictive accuracy
0.9729 ± 0.0386
Prior entropy
0.9989 ± 0.0008
Recall
0.9729 ± 0.0386
Per class
Relative absolute error
0.081 ± 0.0717
Root mean prior squared error
0.4996 ± 0.0003
Root mean squared error
0.1642 ± 0.1017
Root relative squared error
0.3286 ± 0.2037
SciMark benchmark
941.3619
UserCPU time millis
10
UserCPU time millis training
10