Run
128

Run 128

Task 62 (Learning Curve) anneal Uploaded 07-04-2014 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.

17 Evaluation measures

Area under ROC curve
0.6565 ± 0.0095
Per class
Kappa
0.4347 ± 0.021
KB relative information score
0.4713 ± 0.0177
Mean absolute error
0.0546 ± 0.0017
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Predictive accuracy
0.8363 ± 0.005
Prior entropy
1.1915 ± 0.0248
Recall
0.8363 ± 0.005
Per class
Relative absolute error
0.4063 ± 0.0111
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.2336 ± 0.0036
Root relative squared error
0.9046 ± 0.0119
SciMark benchmark
1932.9892