DEVELOPMENT... OpenML
Run
129977

Run 129977

Task 1819 (Supervised Classification) vote 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
0.9818
Per class
Build CPU time
0.0242
Build memory
371102666.2547
F measure
0.9523
Per class
Kappa
0.8995
KB relative information score
1939.978
Mean absolute error
0.0505
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9525
Per class
Predictive accuracy
0.9522
Prior entropy
0.9627
Recall
0.9522
Per class
Relative absolute error
0.1065
Root mean prior squared error
0.4869
Root mean squared error
0.2098
Root relative squared error
0.4308
SciMark benchmark
916.8903