Run
2175

Run 2175

Task 1722 (Learning Curve) cmc Uploaded 24-04-2014 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
0.5683 ± 0.0378
Per class
F measure
0.42 ± 0.0625
Per class
Kappa
0.1342 ± 0.0752
KB relative information score
0.2198 ± 0.0658
Mean absolute error
0.353 ± 0.0325
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
1473
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-431.1.2.el6.x86_64 ]
Precision
0.427 ± 0.0689
Per class
Predictive accuracy
0.4705 ± 0.0488
Prior entropy
1.539 ± 0.0029
Recall
0.4705 ± 0.0488
Per class
Relative absolute error
0.8194 ± 0.0757
Root mean prior squared error
0.4641 ± 0.0005
Root mean squared error
0.5942 ± 0.0267
Root relative squared error
1.2802 ± 0.0578
SciMark benchmark
784.3644