Run
123

Run 123

Task 79 (Learning Curve) mfeat-pixel 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
0.5702 ± 0.0109
Per class
Kappa
0.1403 ± 0.0217
KB relative information score
0.1909 ± 0.0204
Mean absolute error
0.1547 ± 0.0039
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Predictive accuracy
0.2263 ± 0.0195
Prior entropy
3.3219
Recall
0.2263 ± 0.0195
Per class
Relative absolute error
0.8597 ± 0.0217
Root mean prior squared error
0.3
Root mean squared error
0.3934 ± 0.005
Root relative squared error
1.3112 ± 0.0166
SciMark benchmark
1947.169