Run
644

Run 644

Task 97 (Learning Curve) ecoli Uploaded 07-04-2014 by Jan van Rijn
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Flow

weka.RandomTree(1)Weka implementation of RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(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.

19 Evaluation measures

Area under ROC curve
0.8683 ± 0.0439
Per class
F measure
0.7899 ± 0.0736
Per class
Kappa
0.7121 ± 0.0916
KB relative information score
0.6936 ± 0.0998
Mean absolute error
0.0525 ± 0.017
Mean prior absolute error
0.1828 ± 0.0012
Number of instances
3360
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7902 ± 0.0713
Per class
Predictive accuracy
0.7902 ± 0.0681
Prior entropy
2.1906 ± 0.0868
Recall
0.7902 ± 0.0681
Per class
Relative absolute error
0.287 ± 0.0927
Root mean prior squared error
0.3016 ± 0.0021
Root mean squared error
0.229 ± 0.0389
Root relative squared error
0.7593 ± 0.1279
SciMark benchmark
705.5562