DEVELOPMENT... OpenML
Run
128047

Run 128047

Task 27 (Supervised Classification) colic 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
0.811
Per class
Build CPU time
0.008
Build memory
1617775898.1304
F measure
0.7709
Per class
Kappa
0.5031
KB relative information score
149.9394
Mean absolute error
0.2797
Mean prior absolute error
0.4662
Number of instances
368
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7709
Per class
Predictive accuracy
0.7745
Prior entropy
0.9509
Recall
0.7745
Per class
Relative absolute error
0.6
Root mean prior squared error
0.4827
Root mean squared error
0.4089
Root relative squared error
0.8472
SciMark benchmark
929.5397