DEVELOPMENT... OpenML
Run
23898

Run 23898

Task 38 (Supervised Classification) ecoli Uploaded 29-06-2014 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)_I160
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.

17 Evaluation measures

Area under ROC curve
0.9188
Per class
F measure
0.8483
Per class
Kappa
0.7978
KB relative information score
256.1045
Mean absolute error
0.0361
Mean prior absolute error
0.1828
Number of instances
336
Per class
Precision
0.8444
Per class
Predictive accuracy
0.8542
Prior entropy
2.2353
Recall
0.8542
Per class
Relative absolute error
0.1974
Root mean prior squared error
0.3016
Root mean squared error
0.1891
Root relative squared error
0.6268