DEVELOPMENT... OpenML
Run
176590

Run 176590

Task 3856 (Supervised Classification) kdd_ipums_la_97-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
0.9699
Per class
F measure
0.962
Per class
Kappa
0.9195
KB relative information score
6079.4338
Mean absolute error
0.0691
Mean prior absolute error
0.466
Number of instances
7019
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9652
Per class
Predictive accuracy
0.9617
Prior entropy
0.9504
Recall
0.9617
Per class
Relative absolute error
0.1483
Root mean prior squared error
0.4827
Root mean squared error
0.1865
Root relative squared error
0.3864
SciMark benchmark
1465.2979
UserCPU time millis
86900
UserCPU time millis testing
240
UserCPU time millis training
86660