Run
307945

Run 307945

Task 73 (Learning Curve) mfeat-fourier 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
0.8997 ± 0.0155
Per class
F measure
0.7654 ± 0.0288
Per class
Kappa
0.7399 ± 0.0314
KB relative information score
0.7655 ± 0.0293
Mean absolute error
0.0489 ± 0.0052
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
0.7655 ± 0.0304
Per class
Predictive accuracy
0.7659 ± 0.0283
Prior entropy
3.3219
Recall
0.7659 ± 0.0283
Per class
Relative absolute error
0.2716 ± 0.0291
Root mean prior squared error
0.3
Root mean squared error
0.2036 ± 0.0133
Root relative squared error
0.6788 ± 0.0443
SciMark benchmark
1334.2487
UserCPU time millis
290
UserCPU time millis training
290