DEVELOPMENT... OpenML
Run
17143

Run 17143

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

weka.AdaBoostM1_BFTree(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_BFTree(1)_I20
weka.AdaBoostM1_BFTree(1)_P100
weka.AdaBoostM1_BFTree(1)_S1
weka.AdaBoostM1_BFTree(1)_Wweka.classifiers.trees.BFTree
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(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
0.9405
Per class
F measure
0.931
Per class
Kappa
0.8488
KB relative information score
298.0378
Mean absolute error
0.0666
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
0.932
Per class
Predictive accuracy
0.9316
Prior entropy
0.9425
Recall
0.9316
Per class
Relative absolute error
0.1447
Root mean prior squared error
0.4797
Root mean squared error
0.25
Root relative squared error
0.5211
SciMark benchmark
906.0848[551.4513792522581014.9881073746852480.4214203123994908.32981910425011575.2331471921714]