Run
716

Run 716

Task 81 (Learning Curve) mfeat-zernike Uploaded 08-04-2014 by Jan van Rijn
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Flow

weka.OneR(1)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(1)_B6

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
0.5917 ± 0.0155
Per class
F measure
0.2557 ± 0.0272
Per class
Kappa
0.1833 ± 0.031
KB relative information score
0.2314 ± 0.0291
Mean absolute error
0.147 ± 0.0056
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.2535 ± 0.0298
Per class
Predictive accuracy
0.265 ± 0.0279
Prior entropy
3.3219
Recall
0.265 ± 0.0279
Per class
Relative absolute error
0.8167 ± 0.031
Root mean prior squared error
0.3
Root mean squared error
0.3834 ± 0.0073
Root relative squared error
1.278 ± 0.0242
SciMark benchmark
775.4316