DEVELOPMENT... OpenML
Run
176107

Run 176107

Task 2353 (Supervised Classification) meta_batchincremental.arff 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
0.5528
Per class
F measure
0.6435
Per class
Kappa
0.0769
KB relative information score
1.3637
Mean absolute error
0.2002
Mean prior absolute error
0.2249
Number of instances
24
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6728
Per class
Predictive accuracy
0.625
Prior entropy
1.3842
Recall
0.625
Per class
Relative absolute error
0.8902
Root mean prior squared error
0.3095
Root mean squared error
0.4094
Root relative squared error
1.3228
SciMark benchmark
1341.2341
UserCPU time millis
10
UserCPU time millis training
10