DEVELOPMENT... OpenML
Run
130407

Run 130407

Task 3911 (Supervised Classification) ar4 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
0.6592
Per class
Build CPU time
0.0499
Build memory
1712067960.8972
F measure
0.7938
Per class
Kappa
0.2731
KB relative information score
27.5401
Mean absolute error
0.1901
Mean prior absolute error
0.3076
Number of instances
107
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7867
Per class
Predictive accuracy
0.8131
Prior entropy
0.707
Recall
0.8131
Per class
Relative absolute error
0.618
Root mean prior squared error
0.3899
Root mean squared error
0.4321
Root relative squared error
1.1083
SciMark benchmark
925.481