DEVELOPMENT... OpenML
Run
128990

Run 128990

Task 3665 (Supervised Classification) pyrim 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)_I20
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
0.9194
Per class
Build CPU time
0.0056
Build memory
1832763697.4054
F measure
0.8641
Per class
Kappa
0.7199
KB relative information score
52.7059
Mean absolute error
0.1408
Mean prior absolute error
0.4872
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8647
Per class
Predictive accuracy
0.8649
Prior entropy
0.9819
Recall
0.8649
Per class
Relative absolute error
0.289
Root mean prior squared error
0.4934
Root mean squared error
0.3265
Root relative squared error
0.6618
SciMark benchmark
937.9119