DEVELOPMENT... OpenML
Run
130088

Run 130088

Task 3550 (Supervised Classification) analcatdata_asbestos 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)_I80
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
0.8223
Per class
Build CPU time
0.0058
Build memory
861381001.1566
F measure
0.7349
Per class
Kappa
0.4636
KB relative information score
38.0967
Mean absolute error
0.2677
Mean prior absolute error
0.4943
Number of instances
83
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7349
Per class
Predictive accuracy
0.7349
Prior entropy
0.9919
Recall
0.7349
Per class
Relative absolute error
0.5416
Root mean prior squared error
0.4971
Root mean squared error
0.4581
Root relative squared error
0.9216
SciMark benchmark
916.8903