Run
681

Run 681

Task 88 (Learning Curve) credit-approval Uploaded 07-04-2014 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.

19 Evaluation measures

Area under ROC curve
0.8108 ± 0.0455
Per class
F measure
0.8144 ± 0.0445
Per class
Kappa
0.6237 ± 0.0902
KB relative information score
0.6215 ± 0.0898
Mean absolute error
0.1862 ± 0.0441
Mean prior absolute error
0.494 ± 0.0007
Number of instances
6900
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.8144 ± 0.0445
Per class
Predictive accuracy
0.8148 ± 0.0442
Prior entropy
0.9912 ± 0.0021
Recall
0.8148 ± 0.0442
Per class
Relative absolute error
0.377 ± 0.0892
Root mean prior squared error
0.497 ± 0.0007
Root mean squared error
0.4297 ± 0.0533
Root relative squared error
0.8646 ± 0.1072
SciMark benchmark
800.0032