DEVELOPMENT... OpenML
Run
21361

Run 21361

Task 57 (Supervised Classification) ionosphere Uploaded 19-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I20
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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
0.9429
Per class
F measure
0.9339
Per class
Kappa
0.8553
KB relative information score
295.8826
Mean absolute error
0.07
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
0.9347
Per class
Predictive accuracy
0.9345
Prior entropy
0.9425
Recall
0.9345
Per class
Relative absolute error
0.152
Root mean prior squared error
0.4797
Root mean squared error
0.2566
Root relative squared error
0.5349
SciMark benchmark
947.2813[566.67985740389281015.2555353338006482.14720472367435911.17132945493631761.1524117823017]