Run
20192

Run 20192

Task 57 (Supervised Classification) ionosphere Uploaded 18-06-2014 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Logistic(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Logistic(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Logistic(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Logistic(1)_Wweka.classifiers.functions.Logistic
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.Logistic(1)_M-1
weka.Logistic(1)_R1.0E-8

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
0.8644
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.8482
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.6652
Cross-validation details (10-fold Crossvalidation)
KB relative information score
202.1932
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.201
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
0.8522
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8519
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9425
Cross-validation details (10-fold Crossvalidation)
Recall
0.8519
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4366
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4797
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3365
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.7015
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.3546[570.19961794685981011.5249537742577482.36378704342826912.75766683510371754.9271701211055]