DEVELOPMENT... OpenML
Run
128080

Run 128080

Task 233 (Supervised Classification) kr-vs-kp 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
0.962
Per class
Build CPU time
0.056
Build memory
1568312760
F measure
0.9335
Per class
Kappa
0.8662
KB relative information score
726.149
Mean absolute error
0.1758
Mean prior absolute error
0.4984
Number of instances
1054
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.934
Per class
Predictive accuracy
0.9336
Prior entropy
0.9986
Recall
0.9336
Per class
Relative absolute error
0.3527
Root mean prior squared error
0.4989
Root mean squared error
0.2543
Root relative squared error
0.5096
SciMark benchmark
908.8705