Run
774

Run 774

Task 64 (Learning Curve) labor 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.

19 Evaluation measures

Area under ROC curve
0.8515 ± 0.13
Per class
F measure
0.8597 ± 0.1332
Per class
Kappa
0.6974 ± 0.2677
KB relative information score
0.6561 ± 0.2973
Mean absolute error
0.1556 ± 0.1282
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8654 ± 0.1083
Per class
Predictive accuracy
0.8579 ± 0.1332
Prior entropy
0.9349 ± 0.0618
Recall
0.8579 ± 0.1332
Per class
Relative absolute error
0.3404 ± 0.2813
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.3703 ± 0.2255
Root relative squared error
0.7759 ± 0.4745
SciMark benchmark
892.6122