DEVELOPMENT... OpenML
Run
129837

Run 129837

Task 11 (Supervised Classification) balance-scale 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
0.8913
Per class
Build CPU time
0.0089
Build memory
772159765.312
F measure
0.7167
Per class
Kappa
0.5312
KB relative information score
157.6393
Mean absolute error
0.3091
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6887
Per class
Predictive accuracy
0.7472
Prior entropy
1.3212
Recall
0.7472
Per class
Relative absolute error
0.8139
Root mean prior squared error
0.4356
Root mean squared error
0.3566
Root relative squared error
0.8188
SciMark benchmark
939.0159