DEVELOPMENT... OpenML
Run
20109

Run 20109

Task 27 (Supervised Classification) colic Uploaded 18-06-2014 by Felicia West
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Flow

weka.AdaBoostM1_J48(1)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(1)_I20
weka.AdaBoostM1_J48(1)_P100
weka.AdaBoostM1_J48(1)_S1
weka.AdaBoostM1_J48(1)_Wweka.classifiers.trees.J48
weka.J48(1)_C0.25
weka.J48(1)_M2

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.8638
Per class
F measure
0.8261
Per class
Kappa
0.6268
KB relative information score
218.2179
Mean absolute error
0.1862
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
0.8261
Per class
Predictive accuracy
0.8261
Prior entropy
0.9509
Recall
0.8261
Per class
Relative absolute error
0.3995
Root mean prior squared error
0.4827
Root mean squared error
0.3912
Root relative squared error
0.8105
SciMark benchmark
943.63[556.37660137353131014.7208839634673484.5405689113658909.27509318503251753.2370197795062]