Run
25566

Run 25566

Task 73 (Learning Curve) mfeat-fourier Uploaded 19-08-2014 by Jan van Rijn
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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
0.889 ± 0.0125
Per class
Build CPU time
0.0002
Build memory
4388836587.7164
F measure
0.8012 ± 0.0229
Per class
Kappa
0.7776 ± 0.0252
KB relative information score
0.789 ± 0.0237
Mean absolute error
0.0408 ± 0.0045
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8043 ± 0.0224
Per class
Predictive accuracy
0.7999 ± 0.0227
Prior entropy
3.3219
Recall
0.7999 ± 0.0227
Per class
Relative absolute error
0.2267 ± 0.0251
Root mean prior squared error
0.3
Root mean squared error
0.1995 ± 0.0114
Root relative squared error
0.6651 ± 0.0381
SciMark benchmark
1108.857[692.4337447479351962.9959261374813519.9718131946606948.0796117838282420.8037374788855]