DEVELOPMENT... OpenML
Run
177408

Run 177408

Task 4597 (Supervised Classification) hiva_agnostic Uploaded 23-02-2015 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
0.6567
Per class
F measure
0.9531
Per class
Kappa
0.2875
KB relative information score
-7048.998
Mean absolute error
0.0517
Mean prior absolute error
0.0682
Number of instances
42290
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9517
Per class
Predictive accuracy
0.9546
Prior entropy
0.221
Recall
0.9546
Per class
Relative absolute error
0.7587
Root mean prior squared error
0.1844
Root mean squared error
0.2076
Root relative squared error
1.1259
SciMark benchmark
1337.446
UserCPU time millis
51530
UserCPU time millis testing
20
UserCPU time millis training
51510