DEVELOPMENT... OpenML
Run
129700

Run 129700

Task 3794 (Supervised Classification) disclosure_z 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)_I40
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
0.5585
Per class
Build CPU time
0.0699
Build memory
466653096.2659
F measure
0.5498
Per class
Kappa
0.097
KB relative information score
65.8777
Mean absolute error
0.4495
Mean prior absolute error
0.4987
Number of instances
662
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5497
Per class
Predictive accuracy
0.5498
Prior entropy
0.9981
Recall
0.5498
Per class
Relative absolute error
0.9013
Root mean prior squared error
0.4993
Root mean squared error
0.6174
Root relative squared error
1.2364
SciMark benchmark
916.8903