DEVELOPMENT... OpenML
Run
129114

Run 129114

Task 3808 (Supervised Classification) kidney 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
0.9285
Per class
Build CPU time
0.0032
Build memory
1802175376
F measure
0.8815
Per class
Kappa
0.7622
KB relative information score
54.7893
Mean absolute error
0.1428
Mean prior absolute error
0.4987
Number of instances
76
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8817
Per class
Predictive accuracy
0.8816
Prior entropy
0.9981
Recall
0.8816
Per class
Relative absolute error
0.2863
Root mean prior squared error
0.4993
Root mean squared error
0.3381
Root relative squared error
0.6772
SciMark benchmark
909.5718