DEVELOPMENT... OpenML
Run
129835

Run 129835

Task 9 (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)_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
0.8176
Per class
Build CPU time
0.0095
Build memory
703194627.8634
F measure
0.6373
Per class
Kappa
0.5325
KB relative information score
46.6489
Mean absolute error
0.1887
Mean prior absolute error
0.2209
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
0.6487
Per class
Predictive accuracy
0.6488
Prior entropy
2.3268
Recall
0.6488
Per class
Relative absolute error
0.8543
Root mean prior squared error
0.3318
Root mean squared error
0.31
Root relative squared error
0.9343
SciMark benchmark
939.0159