DEVELOPMENT... OpenML
Run
130829

Run 130829

Task 3712 (Supervised Classification) wind 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
0.8516
Per class
Build CPU time
3.7511
Build memory
766294978.3535
F measure
0.7701
Per class
Kappa
0.5383
KB relative information score
3516.4157
Mean absolute error
0.2316
Mean prior absolute error
0.4979
Number of instances
6574
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7701
Per class
Predictive accuracy
0.7702
Prior entropy
0.9969
Recall
0.7702
Per class
Relative absolute error
0.4652
Root mean prior squared error
0.4989
Root mean squared error
0.4542
Root relative squared error
0.9103
SciMark benchmark
927.3354

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