Run
308109

Run 308109

Task 79 (Learning Curve) mfeat-pixel 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
0.9135 ± 0.0134
Per class
F measure
0.7965 ± 0.0267
Per class
Kappa
0.7732 ± 0.0293
KB relative information score
0.7884 ± 0.0252
Mean absolute error
0.0457 ± 0.0049
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7982 ± 0.0252
Per class
Predictive accuracy
0.7959 ± 0.0264
Prior entropy
3.3219
Recall
0.7959 ± 0.0264
Per class
Relative absolute error
0.2539 ± 0.0272
Root mean prior squared error
0.3
Root mean squared error
0.1845 ± 0.0121
Root relative squared error
0.6151 ± 0.0402
SciMark benchmark
1342.3412
UserCPU time millis
1910
UserCPU time millis training
1910