Run
992

Run 992

Task 68 (Learning Curve) autos 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
0.836 ± 0.0574
Per class
F measure
0.7438 ± 0.0897
Per class
Kappa
0.6652 ± 0.1134
KB relative information score
0.6751 ± 0.1042
Mean absolute error
0.0804 ± 0.0241
Mean prior absolute error
0.2209 ± 0.0014
Number of instances
2050
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7527 ± 0.0876
Per class
Predictive accuracy
0.7405 ± 0.0874
Prior entropy
2.2802 ± 0.0732
Recall
0.7405 ± 0.0874
Per class
Relative absolute error
0.3639 ± 0.1088
Root mean prior squared error
0.3318 ± 0.0021
Root mean squared error
0.2676 ± 0.0485
Root relative squared error
0.8066 ± 0.146
SciMark benchmark
889.4891