DEVELOPMENT... OpenML
Run
130306

Run 130306

Task 3799 (Supervised Classification) fri_c3_500_10 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)_I80
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
0.8685
Per class
Build CPU time
0.1701
Build memory
1122672628
F measure
0.8182
Per class
Kappa
0.6343
KB relative information score
314.9726
Mean absolute error
0.183
Mean prior absolute error
0.4961
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
0.819
Per class
Predictive accuracy
0.818
Prior entropy
0.9945
Recall
0.818
Per class
Relative absolute error
0.3689
Root mean prior squared error
0.4981
Root mean squared error
0.4187
Root relative squared error
0.8406
SciMark benchmark
916.8903