DEVELOPMENT... OpenML
Run
129740

Run 129740

Task 3833 (Supervised Classification) analcatdata_authorship 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
0.9981
Per class
Build CPU time
0.291
Build memory
794678647.8098
F measure
0.9786
Per class
Kappa
0.9543
KB relative information score
803.207
Mean absolute error
0.0205
Mean prior absolute error
0.4698
Number of instances
841
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9786
Per class
Predictive accuracy
0.9786
Prior entropy
0.9561
Recall
0.9786
Per class
Relative absolute error
0.0436
Root mean prior squared error
0.4846
Root mean squared error
0.1304
Root relative squared error
0.2691
SciMark benchmark
925.481

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