DEVELOPMENT... OpenML
Run
130681

Run 130681

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)_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
0.8551
Per class
Build CPU time
0.0542
Build memory
663595101.697
F measure
0.9545
Per class
Kappa
0.6597
KB relative information score
136.1761
Mean absolute error
0.0454
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
0.9545
Per class
Predictive accuracy
0.9545
Prior entropy
0.385
Recall
0.9545
Per class
Relative absolute error
0.3331
Root mean prior squared error
0.2585
Root mean squared error
0.213
Root relative squared error
0.824
SciMark benchmark
927.3354