DEVELOPMENT... OpenML
Run
128280

Run 128280

Task 3542 (Supervised Classification) analcatdata_lawsuit 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)_I10
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
0.9667
Per class
Build CPU time
0.0038
Build memory
1212541443.4546
F measure
0.9521
Per class
Kappa
0.6231
KB relative information score
135.1694
Mean absolute error
0.0462
Mean prior absolute error
0.1363
Number of instances
264
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.951
Per class
Predictive accuracy
0.9545
Prior entropy
0.385
Recall
0.9545
Per class
Relative absolute error
0.3391
Root mean prior squared error
0.2585
Root mean squared error
0.1903
Root relative squared error
0.7361
SciMark benchmark
929.5397