DEVELOPMENT... OpenML
Run
111891

Run 111891

Task 27 (Supervised Classification) colic Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(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_J48(2)_I40
weka.AdaBoostM1_J48(2)_P100
weka.AdaBoostM1_J48(2)_S1
weka.AdaBoostM1_J48(2)_Wweka.classifiers.trees.J48
weka.J48(3)_C0.25
weka.J48(3)_M2

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
0.8545
Per class
Build CPU time
0.3239
Build memory
835110662.6087
F measure
0.8223
Per class
Kappa
0.6169
KB relative information score
221.0347
Mean absolute error
0.1818
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
0.822
Per class
Predictive accuracy
0.8234
Prior entropy
0.9509
Recall
0.8234
Per class
Relative absolute error
0.3901
Root mean prior squared error
0.4827
Root mean squared error
0.4016
Root relative squared error
0.832
SciMark benchmark
923.9118