Run
959

Run 959

Task 82 (Learning Curve) cmc 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
0.5719 ± 0.0273
Per class
F measure
0.4235 ± 0.0355
Per class
Kappa
0.1414 ± 0.0548
KB relative information score
0.2264 ± 0.0454
Mean absolute error
0.3496 ± 0.0221
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.4257 ± 0.0529
Per class
Predictive accuracy
0.4756 ± 0.0332
Prior entropy
1.539 ± 0.0028
Recall
0.4756 ± 0.0332
Per class
Relative absolute error
0.8114 ± 0.0515
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.5913 ± 0.0187
Root relative squared error
1.2739 ± 0.0404
SciMark benchmark
892.4077