DEVELOPMENT... OpenML
Run
113049

Run 113049

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)_I10
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
0.8563
Per class
Build CPU time
0.0809
Build memory
913360683.7609
F measure
0.8149
Per class
Kappa
0.6022
KB relative information score
212.7823
Mean absolute error
0.1936
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
0.8147
Per class
Predictive accuracy
0.8152
Prior entropy
0.9509
Recall
0.8152
Per class
Relative absolute error
0.4153
Root mean prior squared error
0.4827
Root mean squared error
0.3893
Root relative squared error
0.8066
SciMark benchmark
939.6298