DEVELOPMENT... OpenML
Run
129882

Run 129882

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)_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
0.9916
Per class
Build CPU time
0.335
Build memory
451372968
F measure
0.9497
Per class
Kappa
0.8988
KB relative information score
899.8548
Mean absolute error
0.0777
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
0.9499
Per class
Predictive accuracy
0.9497
Prior entropy
0.9986
Recall
0.9497
Per class
Relative absolute error
0.1558
Root mean prior squared error
0.4989
Root mean squared error
0.1927
Root relative squared error
0.3863
SciMark benchmark
925.481