DEVELOPMENT... OpenML
Run
176141

Run 176141

Task 2983 (Supervised Classification) lung-cancer 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
0.565
Per class
F measure
0.4308
Per class
Kappa
0.1372
KB relative information score
65.0854
Mean absolute error
0.3867
Mean prior absolute error
0.4393
Number of instances
320
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.4305
Per class
Predictive accuracy
0.4313
Prior entropy
1.57
Recall
0.4313
Per class
Relative absolute error
0.8802
Root mean prior squared error
0.4684
Root mean squared error
0.5671
Root relative squared error
1.2106
SciMark benchmark
1351.788

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