DEVELOPMENT... OpenML
Run
129850

Run 129850

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)_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
0.8233
Per class
Build CPU time
0.0951
Build memory
256483448.413
F measure
0.7852
Per class
Kappa
0.5386
KB relative information score
180.1957
Mean absolute error
0.2329
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
0.785
Per class
Predictive accuracy
0.7853
Prior entropy
0.9509
Recall
0.7853
Per class
Relative absolute error
0.4997
Root mean prior squared error
0.4827
Root mean squared error
0.427
Root relative squared error
0.8846
SciMark benchmark
916.8903