DEVELOPMENT... OpenML
Run
130995

Run 130995

Task 3895 (Supervised Classification) gina_prior 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
0.892
Per class
Build CPU time
63.8133
Build memory
826836345.6424
F measure
0.8111
Per class
Kappa
0.6221
KB relative information score
2135.8493
Mean absolute error
0.1929
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8112
Per class
Predictive accuracy
0.8111
Prior entropy
0.9998
Recall
0.8111
Per class
Relative absolute error
0.3859
Root mean prior squared error
0.4999
Root mean squared error
0.4044
Root relative squared error
0.8088
SciMark benchmark
927.3354