Run
307951

Run 307951

Task 88 (Learning Curve) credit-approval Uploaded 19-03-2015 by Joaquin Vanschoren
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)Weka implementation of AttributeSelectedClassifier
weka.J48(28)_C0.25
weka.J48(28)_M2
weka.BestFirst(3)_D1
weka.BestFirst(3)_N5
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_J48(3)_Wweka.classifiers.trees.J48
weka.CfsSubsetEval(4)_P1
weka.CfsSubsetEval(4)_E1

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
0.8768 ± 0.0462
Per class
F measure
0.8503 ± 0.0401
Per class
Kappa
0.6968 ± 0.0811
KB relative information score
0.6059 ± 0.0636
Mean absolute error
0.2078 ± 0.0297
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8503 ± 0.0404
Per class
Predictive accuracy
0.8503 ± 0.0399
Prior entropy
0.9912 ± 0.0021
Recall
0.8503 ± 0.0399
Per class
Relative absolute error
0.4206 ± 0.06
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.3389 ± 0.0441
Root relative squared error
0.6819 ± 0.0886
SciMark benchmark
1340.1614
UserCPU time millis
10
UserCPU time millis training
10