DEVELOPMENT... OpenML
Run
130452

Run 130452

Task 29 (Supervised Classification) credit-approval 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
0.8773
Per class
Build CPU time
0.2442
Build memory
1043854353.6
F measure
0.8101
Per class
Kappa
0.6155
KB relative information score
418.8572
Mean absolute error
0.1935
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8101
Per class
Predictive accuracy
0.8101
Prior entropy
0.9913
Recall
0.8101
Per class
Relative absolute error
0.3918
Root mean prior squared error
0.497
Root mean squared error
0.4167
Root relative squared error
0.8386
SciMark benchmark
939.0159

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