DEVELOPMENT... OpenML
Run
130315

Run 130315

Task 3806 (Supervised Classification) fri_c0_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)_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
0.7921
Per class
Build CPU time
0.1272
Build memory
905152178.4
F measure
0.7261
Per class
Kappa
0.452
KB relative information score
226.8256
Mean absolute error
0.2727
Mean prior absolute error
0.4994
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
0.7266
Per class
Predictive accuracy
0.726
Prior entropy
0.9991
Recall
0.726
Per class
Relative absolute error
0.5462
Root mean prior squared error
0.4997
Root mean squared error
0.5018
Root relative squared error
1.0042
SciMark benchmark
939.0159