DEVELOPMENT... OpenML
Run
24615

Run 24615

Task 55 (Supervised Classification) vote Uploaded 14-07-2014 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
0.9829
Per class
F measure
0.9496
Per class
Kappa
0.894
KB relative information score
381.1817
Mean absolute error
0.0596
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9501
Per class
Predictive accuracy
0.9494
Prior entropy
0.9627
Recall
0.9494
Per class
Relative absolute error
0.1256
Root mean prior squared error
0.4869
Root mean squared error
0.197
Root relative squared error
0.4045
SciMark benchmark
594.4219[344.16746155121865902.1325290212047237.65865296200488525.9710858052357962.1799997098876]