DEVELOPMENT... OpenML
Run
177040

Run 177040

Task 4489 (Supervised Classification) analcatdata_seropositive Uploaded 22-02-2015 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
0.9339
Per class
F measure
0.9432
Per class
Kappa
0.8751
KB relative information score
1107.3634
Mean absolute error
0.0754
Mean prior absolute error
0.4548
Number of instances
1320
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9433
Per class
Predictive accuracy
0.9432
Prior entropy
0.9347
Recall
0.9432
Per class
Relative absolute error
0.1658
Root mean prior squared error
0.4765
Root mean squared error
0.2342
Root relative squared error
0.4916
SciMark benchmark
1330.0803

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