DEVELOPMENT... OpenML
Run
176160

Run 176160

Task 3044 (Supervised Classification) hypothyroid Uploaded 21-02-2015 by Jason
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Flow

weka.PART(3)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(3)_C0.25
weka.PART(3)_M2
weka.PART(3)_Q1

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.

22 Evaluation measures

Area under ROC curve
0.9951
Per class
F measure
0.9956
Per class
Kappa
0.9724
KB relative information score
1184.9985
Mean absolute error
0.0027
Mean prior absolute error
0.0736
Number of instances
1244
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9952
Per class
Predictive accuracy
0.996
Prior entropy
0.4715
Recall
0.996
Per class
Relative absolute error
0.0367
Root mean prior squared error
0.1923
Root mean squared error
0.0408
Root relative squared error
0.2123
SciMark benchmark
1351.788
UserCPU time millis
30
UserCPU time millis training
30