Run
1839095

Run 1839095

Task 125906 (Learning Curve) blood-transfusion-service-center 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
0.6906 ± 0.1006
Per class
F measure
0.7635 ± 0.048
Per class
Kappa
0.3381 ± 0.1426
KB relative information score
84.9267 ± 6.2283
Mean absolute error
0.3084 ± 0.0193
Mean prior absolute error
0.363 ± 0.0028
Number of instances
748
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.7604 ± 0.0503
Per class
Predictive accuracy
0.7674 ± 0.0471
Prior entropy
0.7928
Recall
0.7674 ± 0.0471
Per class
Relative absolute error
0.8495 ± 0.0547
Root mean prior squared error
0.4258 ± 0.0033
Root mean squared error
0.3989 ± 0.0294
Root relative squared error
0.9366 ± 0.0715
SciMark benchmark
1259.2556