DEVELOPMENT... OpenML
Run
130309

Run 130309

Task 3800 (Supervised Classification) fri_c3_500_50 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)_I80
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
0.8518
Per class
Build CPU time
0.5178
Build memory
1260058371.2
F measure
0.7836
Per class
Kappa
0.5582
KB relative information score
276.9268
Mean absolute error
0.2187
Mean prior absolute error
0.4918
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7867
Per class
Predictive accuracy
0.786
Prior entropy
0.9882
Recall
0.786
Per class
Relative absolute error
0.4446
Root mean prior squared error
0.4959
Root mean squared error
0.4484
Root relative squared error
0.9042
SciMark benchmark
925.481

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