DEVELOPMENT... OpenML
Run
176580

Run 176580

Task 3881 (Supervised Classification) ipums_la_99-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
0.8005
Per class
F measure
0.9119
Per class
Kappa
0.1909
KB relative information score
-2522.1507
Mean absolute error
0.0976
Mean prior absolute error
0.1203
Number of instances
8844
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9046
Per class
Predictive accuracy
0.9216
Prior entropy
0.3444
Recall
0.9216
Per class
Relative absolute error
0.8112
Root mean prior squared error
0.2452
Root mean squared error
0.2552
Root relative squared error
1.0411
SciMark benchmark
1358.4523
UserCPU time millis
2800
UserCPU time millis testing
30
UserCPU time millis training
2770