DEVELOPMENT... OpenML
Run
21626

Run 21626

Task 16 (Supervised Classification) mfeat-karhunen 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)_I10
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
0.9955
Per class
F measure
0.9244
Per class
Kappa
0.9161
KB relative information score
1856.1029
Mean absolute error
0.0153
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9245
Per class
Predictive accuracy
0.9245
Prior entropy
3.3219
Recall
0.9245
Per class
Relative absolute error
0.0852
Root mean prior squared error
0.3
Root mean squared error
0.1086
Root relative squared error
0.362
SciMark benchmark
916.7465[550.5810130843906984.3959268331351469.2927333365945882.34265860232461697.120398816452]