DEVELOPMENT... OpenML
Run
130195

Run 130195

Task 3670 (Supervised Classification) fri_c4_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
0.8581
Per class
Build CPU time
0.543
Build memory
1236697152.8
F measure
0.7879
Per class
Kappa
0.5743
KB relative information score
284.6258
Mean absolute error
0.215
Mean prior absolute error
0.4984
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
0.7879
Per class
Predictive accuracy
0.788
Prior entropy
0.9978
Recall
0.788
Per class
Relative absolute error
0.4314
Root mean prior squared error
0.4992
Root mean squared error
0.4462
Root relative squared error
0.8937
SciMark benchmark
925.481