Run
703

Run 703

Task 98 (Learning Curve) sonar 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
0.5951 ± 0.1004
Per class
F measure
0.5977 ± 0.1048
Per class
Kappa
0.1909 ± 0.2012
KB relative information score
0.1919 ± 0.2029
Mean absolute error
0.4014 ± 0.1008
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.5975 ± 0.1075
Per class
Predictive accuracy
0.5986 ± 0.1008
Prior entropy
0.9967 ± 0.0043
Recall
0.5986 ± 0.1008
Per class
Relative absolute error
0.8065 ± 0.2025
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.6336 ± 0.0819
Root relative squared error
1.2701 ± 0.1642
SciMark benchmark
1018.5293