DEVELOPMENT... OpenML
Run
18241

Run 18241

Task 36 (Supervised Classification) segment Uploaded 10-06-2014 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
0.9961
Per class
F measure
0.9836
Per class
Kappa
0.9808
KB relative information score
2270.9313
Mean absolute error
0.0046
Mean prior absolute error
0.2449
Number of instances
2310
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9836
Per class
Predictive accuracy
0.9836
Prior entropy
2.8074
Recall
0.9836
Per class
Relative absolute error
0.0188
Root mean prior squared error
0.3499
Root mean squared error
0.0654
Root relative squared error
0.1869
SciMark benchmark
945.1812[561.0294815668511013.9200573100866483.23216931738307910.53839766977511757.185869335973]