Run
437741

Run 437741

Task 7535 (Learning Curve) monks-problems-2 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
0.7853 ± 0.1688
Per class
F measure
0.7414 ± 0.1211
Per class
Kappa
0.4116 ± 0.3378
KB relative information score
0.3493 ± 0.3297
Mean absolute error
0.2905 ± 0.1478
Mean prior absolute error
0.4507 ± 0.0026
Number of instances
601
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7731 ± 0.0746
Per class
Predictive accuracy
0.7654 ± 0.1066
Prior entropy
0.9274 ± 0.0078
Recall
0.7654 ± 0.1066
Per class
Relative absolute error
0.6446 ± 0.3285
Root mean prior squared error
0.4746 ± 0.0027
Root mean squared error
0.4113 ± 0.081
Root relative squared error
0.8666 ± 0.172
SciMark benchmark
913.9348
UserCPU time millis
20
UserCPU time millis training
20