DEVELOPMENT... OpenML
Run
128384

Run 128384

Task 3658 (Supervised Classification) fri_c3_250_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)_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
0.9125
Per class
Build CPU time
0.0076
Build memory
377468129.6
F measure
0.8718
Per class
Kappa
0.7417
KB relative information score
173.4576
Mean absolute error
0.155
Mean prior absolute error
0.4968
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8721
Per class
Predictive accuracy
0.872
Prior entropy
0.9955
Recall
0.872
Per class
Relative absolute error
0.312
Root mean prior squared error
0.4984
Root mean squared error
0.3471
Root relative squared error
0.6965
SciMark benchmark
929.5397