DEVELOPMENT... OpenML
Run
128123

Run 128123

Task 284 (Supervised Classification) hepatitis 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)_I10
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
0.5931
Per class
Build CPU time
0.003
Build memory
841897480
F measure
0.7074
Per class
Kappa
0.1959
KB relative information score
8.6069
Mean absolute error
0.2686
Mean prior absolute error
0.3579
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6987
Per class
Predictive accuracy
0.7255
Prior entropy
0.7418
Recall
0.7255
Per class
Relative absolute error
0.7505
Root mean prior squared error
0.4381
Root mean squared error
0.4839
Root relative squared error
1.1046
SciMark benchmark
929.5397