DEVELOPMENT... OpenML
Run
129155

Run 129155

Task 3852 (Supervised Classification) anneal 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)_I20
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
0.9938
Per class
Build CPU time
0.0372
Build memory
972883570.8864
F measure
0.9742
Per class
Kappa
0.9286
KB relative information score
789.0427
Mean absolute error
0.0462
Mean prior absolute error
0.3633
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9743
Per class
Predictive accuracy
0.9744
Prior entropy
0.7932
Recall
0.9744
Per class
Relative absolute error
0.127
Root mean prior squared error
0.426
Root mean squared error
0.1451
Root relative squared error
0.3406
SciMark benchmark
937.9119