DEVELOPMENT... OpenML
Run
175922

Run 175922

Task 256 (Supervised Classification) nursery 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
0.9981
Per class
F measure
0.9853
Per class
Kappa
0.9784
KB relative information score
4180.0824
Mean absolute error
0.0072
Mean prior absolute error
0.273
Number of instances
4276
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9854
Per class
Predictive accuracy
0.9853
Prior entropy
1.7176
Recall
0.9853
Per class
Relative absolute error
0.0262
Root mean prior squared error
0.3694
Root mean squared error
0.071
Root relative squared error
0.1922
SciMark benchmark
1384.4418
UserCPU time millis
300
UserCPU time millis testing
30
UserCPU time millis training
270