DEVELOPMENT... OpenML
Run
177441

Run 177441

Task 4645 (Supervised Classification) leukemia 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
0.8008
Per class
F measure
0.8279
Per class
Kappa
0.6244
KB relative information score
421.8427
Mean absolute error
0.1826
Mean prior absolute error
0.4546
Number of instances
720
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8309
Per class
Predictive accuracy
0.8264
Prior entropy
0.9353
Recall
0.8264
Per class
Relative absolute error
0.4018
Root mean prior squared error
0.4761
Root mean squared error
0.4104
Root relative squared error
0.862
SciMark benchmark
1330.0803
UserCPU time millis
200
UserCPU time millis training
200