DEVELOPMENT... OpenML
Run
129687

Run 129687

Task 3781 (Supervised Classification) fri_c4_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
0.8255
Per class
Build CPU time
0.1602
Build memory
989939764.8
F measure
0.7481
Per class
Kappa
0.4931
KB relative information score
121.8887
Mean absolute error
0.2537
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
0.7482
Per class
Predictive accuracy
0.748
Prior entropy
0.9955
Recall
0.748
Per class
Relative absolute error
0.5106
Root mean prior squared error
0.4984
Root mean squared error
0.4834
Root relative squared error
0.97
SciMark benchmark
916.8903

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