DEVELOPMENT... OpenML
Run
112520

Run 112520

Task 237 (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)_I20
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
0.879
Per class
Build CPU time
0.117
Build memory
1471165928
F measure
0.7257
Per class
Kappa
0.7239
KB relative information score
52.3909
Mean absolute error
0.0202
Mean prior absolute error
0.0736
Number of instances
74
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7346
Per class
Predictive accuracy
0.7568
Prior entropy
3.6349
Recall
0.7568
Per class
Relative absolute error
0.2749
Root mean prior squared error
0.1925
Root mean squared error
0.1422
Root relative squared error
0.7384
SciMark benchmark
890.3066