Run
1839078

Run 1839078

Task 125881 (Learning Curve) wilt Uploaded 09-11-2016 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


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
0.9409 ± 0.0334
Per class
F measure
0.9794 ± 0.0057
Per class
Kappa
0.8016 ± 0.0594
KB relative information score
3199.8518 ± 45.0117
Mean absolute error
0.026 ± 0.006
Mean prior absolute error
0.1022 ± 0.0006
Number of instances
4839
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.9798 ± 0.0058
Per class
Predictive accuracy
0.9791 ± 0.0055
Prior entropy
0.3037
Recall
0.9791 ± 0.0055
Per class
Relative absolute error
0.2548 ± 0.0591
Root mean prior squared error
0.2259 ± 0.0013
Root mean squared error
0.131 ± 0.0199
Root relative squared error
0.5797 ± 0.0894
SciMark benchmark
1049.577