Run
880

Run 880

Task 97 (Learning Curve) ecoli Uploaded 08-04-2014 by Jan van Rijn
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Flow

weka.JRip(1)William W. Cohen: Fast Effective Rule Induction. In: Twelfth International Conference on Machine Learning, 115-123, 1995.
weka.JRip(1)_F3
weka.JRip(1)_N2.0
weka.JRip(1)_O2
weka.JRip(1)_S1

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.

17 Evaluation measures

Area under ROC curve
0.9055 ± 0.0416
Per class
Kappa
0.726 ± 0.0958
KB relative information score
0.6756 ± 0.0899
Mean absolute error
0.0623 ± 0.0142
Mean prior absolute error
0.1828 ± 0.0012
Number of instances
3360
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.803 ± 0.0688
Prior entropy
2.1906 ± 0.0868
Recall
0.803 ± 0.0688
Per class
Relative absolute error
0.3406 ± 0.077
Root mean prior squared error
0.3016 ± 0.0021
Root mean squared error
0.2045 ± 0.0345
Root relative squared error
0.6781 ± 0.1133
SciMark benchmark
889.0578