DEVELOPMENT... OpenML
Run
128329

Run 128329

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)_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
0.6267
Per class
Build CPU time
0.0282
Build memory
357258348.8
F measure
0.5843
Per class
Kappa
0.1663
KB relative information score
38.3795
Mean absolute error
0.4217
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
0.5849
Per class
Predictive accuracy
0.584
Prior entropy
0.9971
Recall
0.584
Per class
Relative absolute error
0.8469
Root mean prior squared error
0.499
Root mean squared error
0.5602
Root relative squared error
1.1227
SciMark benchmark
929.5397