DEVELOPMENT... OpenML
Run
130237

Run 130237

Task 3722 (Supervised Classification) hungarian 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)_I80
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
0.7682
Per class
Build CPU time
0.0499
Build memory
1158885546.068
F measure
0.7242
Per class
Kappa
0.4013
KB relative information score
116.8899
Mean absolute error
0.2685
Mean prior absolute error
0.4614
Number of instances
294
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7239
Per class
Predictive accuracy
0.7245
Prior entropy
0.9439
Recall
0.7245
Per class
Relative absolute error
0.5819
Root mean prior squared error
0.4802
Root mean squared error
0.4793
Root relative squared error
0.9983
SciMark benchmark
916.8903