DEVELOPMENT... OpenML
Run
129537

Run 129537

Task 3608 (Supervised Classification) fri_c4_500_100 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
0.8513
Per class
Build CPU time
0.4824
Build memory
792142345.6
F measure
0.7859
Per class
Kappa
0.5642
KB relative information score
280.1536
Mean absolute error
0.2147
Mean prior absolute error
0.4913
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
0.7859
Per class
Predictive accuracy
0.786
Prior entropy
0.9875
Recall
0.786
Per class
Relative absolute error
0.4369
Root mean prior squared error
0.4956
Root mean squared error
0.4377
Root relative squared error
0.8831
SciMark benchmark
916.8903