Run
1839034

Run 1839034

Task 1731 (Learning Curve) pendigits Uploaded 09-11-2016 by Jan van Rijn
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Flow

weka.PART(4)Eibe Frank, Ian H. Witten: Generating Accurate Rule Sets Without Global Optimization. In: Fifteenth International Conference on Machine Learning, 144-151, 1998.
weka.PART(4)_C0.25
weka.PART(4)_M2
weka.PART(4)_Q1

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9861 ± 0.0017
Per class
F measure
0.9679 ± 0.0034
Per class
Kappa
0.9643 ± 0.0038
KB relative information score
10606.7865 ± 3.9407
Mean absolute error
0.0071 ± 0.0007
Mean prior absolute error
0.18 ± 0
Number of instances
10992
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.9679 ± 0.0034
Per class
Predictive accuracy
0.9679 ± 0.0034
Prior entropy
3.3208
Recall
0.9679 ± 0.0034
Per class
Relative absolute error
0.0396 ± 0.0039
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0791 ± 0.0043
Root relative squared error
0.2636 ± 0.0144
SciMark benchmark
1234.171