DEVELOPMENT... OpenML
Run
20542

Run 20542

Task 38 (Supervised Classification) ecoli Uploaded 18-06-2014 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)_I80
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
0.9165
Per class
F measure
0.846
Per class
Kappa
0.7938
KB relative information score
253.6242
Mean absolute error
0.0376
Mean prior absolute error
0.1828
Number of instances
336
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8421
Per class
Predictive accuracy
0.8512
Prior entropy
2.2353
Recall
0.8512
Per class
Relative absolute error
0.2057
Root mean prior squared error
0.3016
Root mean squared error
0.1931
Root relative squared error
0.6401
SciMark benchmark
926.024[543.3771399600645998.9398589912239481.28276544297296906.75889678256981699.7613547557332]