DEVELOPMENT... OpenML
Run
17768

Run 17768

Task 36 (Supervised Classification) segment Uploaded 09-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(1)_I160
weka.AdaBoostM1_REPTree(1)_P100
weka.AdaBoostM1_REPTree(1)_S1
weka.AdaBoostM1_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9977
Per class
F measure
0.9853
Per class
Kappa
0.9828
KB relative information score
2273.4836
Mean absolute error
0.0044
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
0.9853
Per class
Predictive accuracy
0.9853
Prior entropy
2.8074
Recall
0.9853
Per class
Relative absolute error
0.0179
Root mean prior squared error
0.3499
Root mean squared error
0.0626
Root relative squared error
0.1789
SciMark benchmark
944.2113[566.67985740389281014.1868590421574483.23216931738307914.34946139689831742.6079207559749]