DEVELOPMENT... OpenML
Run
130987

Run 130987

Task 3884 (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
0.9366
Per class
Build CPU time
2.0859
Build memory
799617259.4628
F measure
0.9475
Per class
Kappa
0.7027
KB relative information score
3434.4501
Mean absolute error
0.0514
Mean prior absolute error
0.1838
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
0.9469
Per class
Predictive accuracy
0.9498
Prior entropy
0.4768
Recall
0.9498
Per class
Relative absolute error
0.2795
Root mean prior squared error
0.3031
Root mean squared error
0.2147
Root relative squared error
0.7086
SciMark benchmark
927.3354