DEVELOPMENT... OpenML
Run
176572

Run 176572

Task 3865 (Supervised Classification) ipums_la_98-small 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
0.8054
Per class
F measure
0.8557
Per class
Kappa
0.1315
KB relative information score
-1648.7914
Mean absolute error
0.1566
Mean prior absolute error
0.1891
Number of instances
7485
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8426
Per class
Predictive accuracy
0.8798
Prior entropy
0.4871
Recall
0.8798
Per class
Relative absolute error
0.828
Root mean prior squared error
0.3074
Root mean squared error
0.3042
Root relative squared error
0.9894
SciMark benchmark
1358.4523
UserCPU time millis
4670
UserCPU time millis testing
40
UserCPU time millis training
4630