Run
23968

Run 23968

Task 57 (Supervised Classification) ionosphere Uploaded 29-06-2014 by Joaquin Vanschoren
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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
Cross-validation details (10-fold Crossvalidation)
F measure
0.8924
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7631
Cross-validation details (10-fold Crossvalidation)
KB relative information score
239.5108
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1541
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4604
Cross-validation details (10-fold Crossvalidation)
Number of instances
351
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8962
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8946
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8946
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.3347
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3036
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.633
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
949.4977[575.08758469751731016.0585376856843483.88543266528814912.43991219425081760.017229859821]