DEVELOPMENT... OpenML
Run
129279

Run 129279

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)_I40
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
0.9887
Per class
Build CPU time
0.187
Build memory
1933343568
F measure
0.9469
Per class
Kappa
0.8932
KB relative information score
863.4395
Mean absolute error
0.0981
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
0.9469
Per class
Predictive accuracy
0.9469
Prior entropy
0.9986
Recall
0.9469
Per class
Relative absolute error
0.1969
Root mean prior squared error
0.4989
Root mean squared error
0.2055
Root relative squared error
0.412
SciMark benchmark
937.9119