DEVELOPMENT... OpenML
Run
177329

Run 177329

Task 4586 (Supervised Classification) ipums_la_99-small 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
0.8085
Per class
F measure
0.9125
Per class
Kappa
0.2003
KB relative information score
-26469.3942
Mean absolute error
0.0979
Mean prior absolute error
0.1203
Number of instances
88440
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9057
Per class
Predictive accuracy
0.9218
Prior entropy
0.3444
Recall
0.9218
Per class
Relative absolute error
0.8141
Root mean prior squared error
0.2452
Root mean squared error
0.2538
Root relative squared error
1.0352
SciMark benchmark
1330.0803
UserCPU time millis
3170
UserCPU time millis testing
30
UserCPU time millis training
3140