DEVELOPMENT... OpenML
Run
129624

Run 129624

Task 3705 (Supervised Classification) autoHorse 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
0.9829
Per class
Build CPU time
0.0423
Build memory
716738544.7415
F measure
0.9366
Per class
Kappa
0.8687
KB relative information score
176.8194
Mean absolute error
0.0652
Mean prior absolute error
0.4821
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9368
Per class
Predictive accuracy
0.9366
Prior entropy
0.9742
Recall
0.9366
Per class
Relative absolute error
0.1353
Root mean prior squared error
0.4909
Root mean squared error
0.2514
Root relative squared error
0.5121
SciMark benchmark
916.8903