Run
767

Run 767

Task 98 (Learning Curve) sonar 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
0.8688 ± 0.0776
Per class
F measure
0.8682 ± 0.0778
Per class
Kappa
0.735 ± 0.1548
KB relative information score
0.7301 ± 0.1525
Mean absolute error
0.1351 ± 0.0755
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.8701 ± 0.0747
Per class
Predictive accuracy
0.8688 ± 0.0763
Prior entropy
0.9967 ± 0.0043
Recall
0.8688 ± 0.0763
Per class
Relative absolute error
0.2715 ± 0.1517
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.3604 ± 0.1128
Root relative squared error
0.7224 ± 0.2262
SciMark benchmark
888.7377