DEVELOPMENT... OpenML
Run
177291

Run 177291

Task 4571 (Supervised Classification) primary-tumor Uploaded 23-02-2015 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
0.8289
Per class
F measure
0.8167
Per class
Kappa
0.4925
KB relative information score
1278.5127
Mean absolute error
0.2272
Mean prior absolute error
0.3735
Number of instances
3390
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8149
Per class
Predictive accuracy
0.8239
Prior entropy
0.8101
Recall
0.8239
Per class
Relative absolute error
0.6084
Root mean prior squared error
0.4317
Root mean squared error
0.3645
Root relative squared error
0.8442
SciMark benchmark
1330.0803