DEVELOPMENT... OpenML
Run
129609

Run 129609

Task 3689 (Supervised Classification) fri_c1_500_10 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
0.8867
Per class
Build CPU time
0.0935
Build memory
514111958.4
F measure
0.8198
Per class
Kappa
0.6361
KB relative information score
315.4381
Mean absolute error
0.1828
Mean prior absolute error
0.4954
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8198
Per class
Predictive accuracy
0.82
Prior entropy
0.9934
Recall
0.82
Per class
Relative absolute error
0.3689
Root mean prior squared error
0.4977
Root mean squared error
0.4073
Root relative squared error
0.8185
SciMark benchmark
916.8903