DEVELOPMENT... OpenML
Run
128738

Run 128738

Task 1775 (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)_I20
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
0.8833
Per class
Build CPU time
0.0032
Build memory
566314289.6
F measure
0.7259
Per class
Kappa
0.549
KB relative information score
766.68
Mean absolute error
0.3113
Mean prior absolute error
0.3798
Number of instances
3125
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6977
Per class
Predictive accuracy
0.7568
Prior entropy
1.3212
Recall
0.7568
Per class
Relative absolute error
0.8198
Root mean prior squared error
0.4356
Root mean squared error
0.361
Root relative squared error
0.8287
SciMark benchmark
909.5718