DEVELOPMENT... OpenML
Run
128052

Run 128052

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)_I10
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
0.9394
Per class
Build CPU time
0.154
Build memory
1219129119.9138
F measure
0.9364
Per class
Kappa
0.6614
KB relative information score
3364.6619
Mean absolute error
0.0246
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
0.9356
Per class
Predictive accuracy
0.9448
Prior entropy
0.6391
Recall
0.9448
Per class
Relative absolute error
0.3225
Root mean prior squared error
0.1949
Root mean squared error
0.1373
Root relative squared error
0.7048
SciMark benchmark
929.5397

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