DEVELOPMENT... OpenML
Run
110919

Run 110919

Task 3011 (Supervised Classification) hypothyroid 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
0.9923
Per class
Build CPU time
6.6285
Build memory
556532357.1029
F measure
0.9971
Per class
Kappa
0.9818
KB relative information score
3615.3263
Mean absolute error
0.0013
Mean prior absolute error
0.0729
Number of instances
3772
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9968
Per class
Predictive accuracy
0.9973
Prior entropy
0.4715
Recall
0.9973
Per class
Relative absolute error
0.0184
Root mean prior squared error
0.1904
Root mean squared error
0.0364
Root relative squared error
0.1913
SciMark benchmark
908.8705