DEVELOPMENT... OpenML
Run
20810

Run 20810

Task 47 (Supervised Classification) tae 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
0.8101
Per class
F measure
0.6494
Per class
Kappa
0.4739
KB relative information score
78.2765
Mean absolute error
0.2356
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
0.6526
Per class
Predictive accuracy
0.649
Prior entropy
1.5845
Recall
0.649
Per class
Relative absolute error
0.5302
Root mean prior squared error
0.4713
Root mean squared error
0.4448
Root relative squared error
0.9437
SciMark benchmark
920.5224[543.715879190352994.0444054926959471.55983089878305885.02366459511341708.2681538059594]