Run
50

Run 50

Task 75 (Learning Curve) mfeat-karhunen Uploaded 06-04-2014 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
0.9797 ± 0.006
Per class
F measure
0.9633 ± 0.0108
Per class
Kappa
0.9593 ± 0.012
KB relative information score
0.9596 ± 0.0112
Mean absolute error
0.0083 ± 0.0021
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.9637 ± 0.0104
Per class
Predictive accuracy
0.9634 ± 0.0108
Prior entropy
3.3219
Recall
0.9634 ± 0.0108
Per class
Relative absolute error
0.046 ± 0.0119
Root mean prior squared error
0.3
Root mean squared error
0.0854 ± 0.0129
Root relative squared error
0.2846 ± 0.0431
SciMark benchmark
1951.53