Run
1839031

Run 1839031

Task 1721 (Learning Curve) mfeat-zernike 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
0.8876 ± 0.0218
Per class
F measure
0.7282 ± 0.0438
Per class
Kappa
0.6972 ± 0.0497
KB relative information score
1505.7122 ± 8.6364
Mean absolute error
0.0549 ± 0.0082
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
['Oracle Corporation', '1.8.0_91', 'amd64', 'Linux', '3.10.0-327.22.2.el7.x86_64']
Precision
0.7304 ± 0.042
Per class
Predictive accuracy
0.7275 ± 0.0447
Prior entropy
3.3219
Recall
0.7275 ± 0.0447
Per class
Relative absolute error
0.305 ± 0.0454
Root mean prior squared error
0.3
Root mean squared error
0.2081 ± 0.0185
Root relative squared error
0.6936 ± 0.0616
SciMark benchmark
1097.6799