DEVELOPMENT... OpenML
Run
23250

Run 23250

Task 7 (Supervised Classification) audiology Uploaded 24-06-2014 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)_I80
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
0.9227
Per class
F measure
0.832
Per class
Kappa
0.8193
KB relative information score
170.9514
Mean absolute error
0.013
Mean prior absolute error
0.0724
Number of instances
226
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8274
Per class
Predictive accuracy
0.8451
Prior entropy
3.6349
Recall
0.8451
Per class
Relative absolute error
0.1795
Root mean prior squared error
0.1893
Root mean squared error
0.1134
Root relative squared error
0.5989
SciMark benchmark
926.6988[558.5144281263492999.7172495283804439.5177627582246895.91247233537911739.832252158097]