DEVELOPMENT... OpenML
Run
23723

Run 23723

Task 58 (Supervised Classification) waveform-5000 Uploaded 27-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptr on(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MultilayerPerceptron(1)_Wweka.classifiers.functions.MultilayerPerceptron
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.MultilayerPerceptron(1)_E20
weka.MultilayerPerceptron(1)_Ha
weka.MultilayerPerceptron(1)_L0.3
weka.MultilayerPerceptron(1)_M0.2
weka.MultilayerPerceptron(1)_N500
weka.MultilayerPerceptron(1)_S0
weka.MultilayerPerceptron(1)_V0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.968
Per class
F measure
0.8508
Per class
Kappa
0.7765
KB relative information score
3939.5994
Mean absolute error
0.1067
Mean prior absolute error
0.4444
Number of instances
5000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8513
Per class
Predictive accuracy
0.851
Prior entropy
1.5849
Recall
0.851
Per class
Relative absolute error
0.24
Root mean prior squared error
0.4714
Root mean squared error
0.2737
Root relative squared error
0.5806
SciMark benchmark
918.7086[548.6759026168116981.1379944499009467.04737876123704884.1281874824051712.553627946137]