Run
307930

Run 307930

Task 62 (Learning Curve) anneal 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
0.9531 ± 0.028
Per class
F measure
0.9004 ± 0.0392
Per class
Kappa
0.7486 ± 0.1067
KB relative information score
0.6872 ± 0.065
Mean absolute error
0.0507 ± 0.0083
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9003 ± 0.0379
Per class
Predictive accuracy
0.9019 ± 0.0394
Prior entropy
1.1915 ± 0.0248
Recall
0.9019 ± 0.0394
Per class
Relative absolute error
0.3775 ± 0.0611
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.1582 ± 0.0217
Root relative squared error
0.6128 ± 0.0825
SciMark benchmark
1342.3412
UserCPU time millis
20
UserCPU time millis testing
10
UserCPU time millis training
10