DEVELOPMENT... OpenML
Run
129488

Run 129488

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)_I40
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
0.8234
Per class
Build CPU time
0.0065
Build memory
376736129.1566
F measure
0.759
Per class
Kappa
0.5123
KB relative information score
39.4053
Mean absolute error
0.2614
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
0.759
Per class
Predictive accuracy
0.759
Prior entropy
0.9919
Recall
0.759
Per class
Relative absolute error
0.5289
Root mean prior squared error
0.4971
Root mean squared error
0.4496
Root relative squared error
0.9046
SciMark benchmark
916.8903