Run
730

Run 730

Task 116 (Learning Curve) ionosphere Uploaded 08-04-2014 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
0.8693 ± 0.0667
Per class
F measure
0.8832 ± 0.0598
Per class
Kappa
0.7452 ± 0.1303
KB relative information score
0.7386 ± 0.1318
Mean absolute error
0.1162 ± 0.0587
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.8831 ± 0.0578
Per class
Predictive accuracy
0.8838 ± 0.0587
Prior entropy
0.9418 ± 0.0113
Recall
0.8838 ± 0.0587
Per class
Relative absolute error
0.2524 ± 0.1273
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.3409 ± 0.1037
Root relative squared error
0.7107 ± 0.216
SciMark benchmark
763.0851