DEVELOPMENT... OpenML
Run
129421

Run 129421

Task 3011 (Supervised Classification) hypothyroid Uploaded 25-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_OneR(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_OneR(2)_I40
weka.AdaBoostM1_OneR(2)_P100
weka.AdaBoostM1_OneR(2)_S1
weka.AdaBoostM1_OneR(2)_Wweka.classifiers.rules.OneR
weka.OneR(3)_B6

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
0.9837
Per class
Build CPU time
0.4077
Build memory
446182598.2524
F measure
0.9659
Per class
Kappa
0.7617
KB relative information score
2563.7811
Mean absolute error
0.0176
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
0.9656
Per class
Predictive accuracy
0.9663
Prior entropy
0.4715
Recall
0.9663
Per class
Relative absolute error
0.2411
Root mean prior squared error
0.1904
Root mean squared error
0.1244
Root relative squared error
0.6532
SciMark benchmark
916.8903