DEVELOPMENT... OpenML
Run
18612

Run 18612

Task 39 (Supervised Classification) sonar Uploaded 10-06-2014 by Felicia West
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Flow

weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)Weka implementation of AttributeSelectedClassifier
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)_Eweka.attributeSelection.CfsSubsetEval
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)_Sweka.attributeSelection.BestFirst
weka.AttributeSelectedClassifier_CfsSubsetEval_BestFirst_Bagging_REPTree(1)_Wweka.classifiers.meta.Bagging
weka.Bagging_REPTree(1)_I10
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.BestFirst(1)_D1
weka.BestFirst(1)_N5
weka.CfsSubsetEval(1)_E1
weka.CfsSubsetEval(1)_P1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.8352
Per class
F measure
0.7589
Per class
Kappa
0.5152
KB relative information score
74.156
Mean absolute error
0.3348
Mean prior absolute error
0.4978
Number of instances
208
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7595
Per class
Predictive accuracy
0.7596
Prior entropy
0.9968
Recall
0.7596
Per class
Relative absolute error
0.6727
Root mean prior squared error
0.4989
Root mean squared error
0.4047
Root relative squared error
0.8112
SciMark benchmark
925.1957[546.9553776934373986.916784695497473.2225260256645892.25324449793121726.6307773978087]