DEVELOPMENT... OpenML
Run
25584

Run 25584

Task 91 (Learning Curve) pendigits Uploaded 19-08-2014 by Jason
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Flow

weka.IBk(2)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9965 ± 0.0011
Per class
Build CPU time
0.0005
Build memory
5080431697.77
F measure
0.9937 ± 0.0019
Per class
Kappa
0.993 ± 0.0021
KB relative information score
0.993 ± 0.002
Mean absolute error
0.0014 ± 0.0004
Mean prior absolute error
0.18 ± 0
Number of instances
109920
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.9937 ± 0.0019
Per class
Predictive accuracy
0.9937 ± 0.0019
Prior entropy
3.3208 ± 0.0002
Recall
0.9937 ± 0.0019
Per class
Relative absolute error
0.008 ± 0.0021
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0355 ± 0.0055
Root relative squared error
0.1184 ± 0.0182
SciMark benchmark
1102.0669[674.2329150623082956.7800160576721523.0111241918673965.1840657880762391.126512606938]