DEVELOPMENT... OpenML
Run
129840

Run 129840

Task 3891 (Supervised Classification) gina_agnostic 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
0.8741
Per class
Build CPU time
20.6345
Build memory
393177117.0035
F measure
0.7896
Per class
Kappa
0.5792
KB relative information score
1915.8229
Mean absolute error
0.228
Mean prior absolute error
0.4999
Number of instances
3468
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7901
Per class
Predictive accuracy
0.7898
Prior entropy
0.9998
Recall
0.7898
Per class
Relative absolute error
0.4561
Root mean prior squared error
0.4999
Root mean squared error
0.3971
Root relative squared error
0.7943
SciMark benchmark
916.8903