DEVELOPMENT... OpenML
Run
176258

Run 176258

Task 3564 (Supervised Classification) analcatdata_germangss 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
0.6266
Per class
F measure
0.3432
Per class
Kappa
0.1333
KB relative information score
87.4434
Mean absolute error
0.3293
Mean prior absolute error
0.375
Number of instances
400
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.3401
Per class
Predictive accuracy
0.35
Prior entropy
2
Recall
0.35
Per class
Relative absolute error
0.8782
Root mean prior squared error
0.433
Root mean squared error
0.4606
Root relative squared error
1.0638
SciMark benchmark
1339.4189
UserCPU time millis
10
UserCPU time millis testing
10