Run
949

Run 949

Task 87 (Learning Curve) optdigits 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
0.9928 ± 0.0026
Per class
F measure
0.987 ± 0.0047
Per class
Kappa
0.9855 ± 0.0052
KB relative information score
0.9856 ± 0.0049
Mean absolute error
0.003 ± 0.0009
Mean prior absolute error
0.18 ± 0
Number of instances
56200
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9871 ± 0.0045
Per class
Predictive accuracy
0.987 ± 0.0047
Prior entropy
3.3218 ± 0.0001
Recall
0.987 ± 0.0047
Per class
Relative absolute error
0.0164 ± 0.0052
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.051 ± 0.0096
Root relative squared error
0.17 ± 0.032
SciMark benchmark
881.1259