DEVELOPMENT... OpenML
Run
130729

Run 130729

Task 3597 (Supervised Classification) baskball Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(2)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_OneR(2)_I160
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.7275
Per class
Build CPU time
0.0287
Build memory
403877892.4167
F measure
0.6766
Per class
Kappa
0.353
KB relative information score
33.8759
Mean absolute error
0.324
Mean prior absolute error
0.4998
Number of instances
96
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6774
Per class
Predictive accuracy
0.6771
Prior entropy
0.9997
Recall
0.6771
Per class
Relative absolute error
0.6482
Root mean prior squared error
0.4999
Root mean squared error
0.5497
Root relative squared error
1.0996
SciMark benchmark
927.3354