DEVELOPMENT... OpenML
Run
21352

Run 21352

Task 27 (Supervised Classification) colic Uploaded 19-06-2014 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
0.8623
Per class
F measure
0.837
Per class
Kappa
0.6501
KB relative information score
233.8776
Mean absolute error
0.1649
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.837
Per class
Predictive accuracy
0.837
Prior entropy
0.9509
Recall
0.837
Per class
Relative absolute error
0.3537
Root mean prior squared error
0.4827
Root mean squared error
0.4016
Root relative squared error
0.8321
SciMark benchmark
948.5384[568.34168678655021014.9881711071126483.667533998868907.70082742804311767.9939646936223]