DEVELOPMENT... OpenML
Run
24350

Run 24350

Task 47 (Supervised Classification) tae Uploaded 04-07-2014 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
0.7925
Per class
F measure
0.6628
Per class
Kappa
0.4937
KB relative information score
77.4056
Mean absolute error
0.2427
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6651
Per class
Predictive accuracy
0.6623
Prior entropy
1.5845
Recall
0.6623
Per class
Relative absolute error
0.5461
Root mean prior squared error
0.4713
Root mean squared error
0.4312
Root relative squared error
0.9148
SciMark benchmark
896.6117[535.8650011290683961.5544199194245458.6680463954333863.45190661122311663.5191428647508]