Run
23

Run 23

Task 73 (Learning Curve) mfeat-fourier Uploaded 06-04-2014 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
0.6591 ± 0.0167
Per class
F measure
0.3573 ± 0.0302
Per class
Kappa
0.3182 ± 0.0333
KB relative information score
0.3583 ± 0.0313
Mean absolute error
0.1227 ± 0.006
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 ]
Precision
0.3468 ± 0.0374
Per class
Predictive accuracy
0.3864 ± 0.03
Prior entropy
3.3219
Recall
0.3864 ± 0.03
Per class
Relative absolute error
0.6818 ± 0.0333
Root mean prior squared error
0.3
Root mean squared error
0.3503 ± 0.0086
Root relative squared error
1.1678 ± 0.0286
SciMark benchmark
1949.0039