DEVELOPMENT... OpenML
Run
129572

Run 129572

Task 3645 (Supervised Classification) fri_c1_500_25 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
0.8564
Per class
Build CPU time
0.1899
Build memory
602024863.2
F measure
0.7981
Per class
Kappa
0.5945
KB relative information score
288.3648
Mean absolute error
0.2122
Mean prior absolute error
0.4977
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
0.7982
Per class
Predictive accuracy
0.798
Prior entropy
0.9967
Recall
0.798
Per class
Relative absolute error
0.4264
Root mean prior squared error
0.4988
Root mean squared error
0.4294
Root relative squared error
0.8608
SciMark benchmark
916.8903