DEVELOPMENT... OpenML
Run
130532

Run 130532

Task 1766 (Supervised Classification) anneal 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
0.9448
Per class
Build CPU time
0.0172
Build memory
103557277.6
F measure
0.8227
Per class
Kappa
0.5479
KB relative information score
1887.8865
Mean absolute error
0.0915
Mean prior absolute error
0.1343
Number of instances
4490
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.856
Per class
Predictive accuracy
0.8592
Prior entropy
1.2149
Recall
0.8592
Per class
Relative absolute error
0.6814
Root mean prior squared error
0.2582
Root mean squared error
0.1896
Root relative squared error
0.7341
SciMark benchmark
927.3354