DEVELOPMENT... OpenML
Run
129336

Run 129336

Task 1773 (Supervised Classification) autos 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
0.7465
Per class
Build CPU time
0.0028
Build memory
1934054080.8039
F measure
0.4736
Per class
Kappa
0.322
KB relative information score
21.3692
Mean absolute error
0.2338
Mean prior absolute error
0.2209
Number of instances
1025
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.478
Per class
Predictive accuracy
0.4937
Prior entropy
2.3268
Recall
0.4937
Per class
Relative absolute error
1.0585
Root mean prior squared error
0.3318
Root mean squared error
0.3354
Root relative squared error
1.0109
SciMark benchmark
937.9119