DEVELOPMENT... OpenML
Run
21756

Run 21756

Task 51 (Supervised Classification) trains Uploaded 20-06-2014 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)_I40
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
0.36
Per class
F measure
0.5833
Per class
Kappa
0.2
KB relative information score
-0.3425
Mean absolute error
0.5348
Mean prior absolute error
0.5
Number of instances
10
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.619
Per class
Predictive accuracy
0.6
Prior entropy
1
Recall
0.6
Per class
Relative absolute error
1.0696
Root mean prior squared error
0.5
Root mean squared error
0.6481
Root relative squared error
1.2963
SciMark benchmark
917.3499[569.0833955748082858.7142777627661484.54051677983614912.12245438067161762.2889234168845]