DEVELOPMENT... OpenML
Run
129529

Run 129529

Task 3598 (Supervised Classification) fri_c0_250_50 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
0.6185
Per class
Build CPU time
0.1386
Build memory
662757759.2
F measure
0.586
Per class
Kappa
0.1679
KB relative information score
38.4142
Mean absolute error
0.4208
Mean prior absolute error
0.498
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
0.5863
Per class
Predictive accuracy
0.588
Prior entropy
0.9971
Recall
0.588
Per class
Relative absolute error
0.845
Root mean prior squared error
0.499
Root mean squared error
0.6069
Root relative squared error
1.2163
SciMark benchmark
916.8903