DEVELOPMENT... OpenML
Run
23502

Run 23502

Task 27 (Supervised Classification) colic Uploaded 25-06-2014 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)_I160
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
0.8521
Per class
F measure
0.8301
Per class
Kappa
0.6329
KB relative information score
228.2955
Mean absolute error
0.1725
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
0.83
Per class
Predictive accuracy
0.8315
Prior entropy
0.9509
Recall
0.8315
Per class
Relative absolute error
0.3701
Root mean prior squared error
0.4827
Root mean squared error
0.3937
Root relative squared error
0.8157
SciMark benchmark
940.4464[557.79999612023221014.7209476623404488.7309107644409901.14811183887921739.8321200114547]