DEVELOPMENT... OpenML
Run
130453

Run 130453

Task 30 (Supervised Classification) page-blocks 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
0.944
Per class
Build CPU time
0.7219
Build memory
1164441668.9567
F measure
0.9381
Per class
Kappa
0.6708
KB relative information score
3385.7925
Mean absolute error
0.0225
Mean prior absolute error
0.0762
Number of instances
5473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9369
Per class
Predictive accuracy
0.9461
Prior entropy
0.6391
Recall
0.9461
Per class
Relative absolute error
0.2949
Root mean prior squared error
0.1949
Root mean squared error
0.1375
Root relative squared error
0.7056
SciMark benchmark
939.0159