DEVELOPMENT... OpenML
Run
111225

Run 111225

Task 3862 (Supervised Classification) audiology 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)_I160
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
0.9353
Per class
Build CPU time
0.2353
Build memory
591199487.5752
F measure
0.9509
Per class
Kappa
0.8687
KB relative information score
193.3155
Mean absolute error
0.0476
Mean prior absolute error
0.3783
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
0.9509
Per class
Predictive accuracy
0.9513
Prior entropy
0.8182
Recall
0.9513
Per class
Relative absolute error
0.1258
Root mean prior squared error
0.4343
Root mean squared error
0.2163
Root relative squared error
0.498
SciMark benchmark
942.3919