DEVELOPMENT... OpenML
Run
128614

Run 128614

Task 3917 (Supervised Classification) kc1 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)_I10
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
0.6821
Per class
Build CPU time
0.0766
Build memory
1269473990.6268
F measure
0.8226
Per class
Kappa
0.2872
KB relative information score
238.2665
Mean absolute error
0.1915
Mean prior absolute error
0.2616
Number of instances
2109
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8158
Per class
Predictive accuracy
0.8326
Prior entropy
0.622
Recall
0.8326
Per class
Relative absolute error
0.7322
Root mean prior squared error
0.3615
Root mean squared error
0.3773
Root relative squared error
1.0438
SciMark benchmark
909.5718