DEVELOPMENT... OpenML
Run
176151

Run 176151

Task 3021 (Supervised Classification) sick 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
0.9513
Per class
F measure
0.9868
Per class
Kappa
0.8856
KB relative information score
3072.5274
Mean absolute error
0.0155
Mean prior absolute error
0.1152
Number of instances
3772
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9869
Per class
Predictive accuracy
0.9867
Prior entropy
0.3333
Recall
0.9867
Per class
Relative absolute error
0.1343
Root mean prior squared error
0.2398
Root mean squared error
0.1058
Root relative squared error
0.4414
SciMark benchmark
1351.788
UserCPU time millis
90
UserCPU time millis testing
10
UserCPU time millis training
80