DEVELOPMENT... OpenML
Run
129194

Run 129194

Task 3896 (Supervised Classification) ada_agnostic 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)_I20
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
0.8549
Per class
Build CPU time
0.5992
Build memory
1379746251.4985
F measure
0.8112
Per class
Kappa
0.4707
KB relative information score
1589.3939
Mean absolute error
0.2303
Mean prior absolute error
0.3732
Number of instances
4562
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8127
Per class
Predictive accuracy
0.8233
Prior entropy
0.8085
Recall
0.8233
Per class
Relative absolute error
0.6171
Root mean prior squared error
0.4319
Root mean squared error
0.3576
Root relative squared error
0.8279
SciMark benchmark
937.9119