DEVELOPMENT... OpenML
Run
176717

Run 176717

Task 4221 (Supervised Classification) ipums_la_98-small 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
0.9457
Per class
F measure
0.7309
Per class
Kappa
0.5564
KB relative information score
40187.8176
Mean absolute error
0.0778
Mean prior absolute error
0.1598
Number of instances
74850
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7417
Per class
Predictive accuracy
0.7544
Prior entropy
1.7643
Recall
0.7544
Per class
Relative absolute error
0.4867
Root mean prior squared error
0.2826
Root mean squared error
0.2031
Root relative squared error
0.7188
SciMark benchmark
1341.2341
UserCPU time millis
3810
UserCPU time millis testing
140
UserCPU time millis training
3670