Run
789

Run 789

Task 66 (Learning Curve) audiology Uploaded 08-04-2014 by Jan van Rijn
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Flow

weka.IBk(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(1)_Atrue
weka.IBk(1)_K1
weka.IBk(1)_W0

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
0.9018 ± 0.0433
Per class
Kappa
0.7455 ± 0.0926
KB relative information score
0.685 ± 0.0875
Mean absolute error
0.0252 ± 0.0051
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Predictive accuracy
0.7841 ± 0.0782
Prior entropy
3.4373 ± 0.1528
Recall
0.7841 ± 0.0782
Per class
Relative absolute error
0.3475 ± 0.0701
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1236 ± 0.0197
Root relative squared error
0.6531 ± 0.1028
SciMark benchmark
837.3559