DEVELOPMENT... OpenML
Run
23968

Run 23968

Task 57 (Supervised Classification) ionosphere Uploaded 29-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MLPClassifier(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MLPClassifier(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MLPClassifier(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_MLPClassifier(1)_Wweka.classifiers.functions.MLPClassifier
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.MLPClassifier(1)_E1
weka.MLPClassifier(1)_N2
weka.MLPClassifier(1)_O1.0E-6
weka.MLPClassifier(1)_P1
weka.MLPClassifier(1)_R0.01
weka.MLPClassifier(1)_S1

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
0.8942
Per class
F measure
0.8924
Per class
Kappa
0.7631
KB relative information score
239.5108
Mean absolute error
0.1541
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8962
Per class
Predictive accuracy
0.8946
Prior entropy
0.9425
Recall
0.8946
Per class
Relative absolute error
0.3347
Root mean prior squared error
0.4797
Root mean squared error
0.3036
Root relative squared error
0.633
SciMark benchmark
949.4977[575.08758469751731016.0585376856843483.88543266528814912.43991219425081760.017229859821]

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