OpenML
972

Run 972

Task 77 (Learning Curve) mfeat-morphological 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
0.7094 ± 0.0154
Per class
F measure
0.4692 ± 0.0282
Per class
Kappa
0.4188 ± 0.0308
KB relative information score
0.453 ± 0.029
Mean absolute error
0.1046 ± 0.0055
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.4678 ± 0.0289
Per class
Predictive accuracy
0.477 ± 0.0277
Prior entropy
3.3219
Recall
0.477 ± 0.0277
Per class
Relative absolute error
0.5812 ± 0.0308
Root mean prior squared error
0.3
Root mean squared error
0.3234 ± 0.0086
Root relative squared error
1.0781 ± 0.0286
SciMark benchmark
891.2646