Run
25065

Run 25065

Task 99 (Learning Curve) glass Uploaded 16-08-2014 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
0.7923 ± 0.0708
Per class
Build CPU time
0.0002
Build memory
5261047499.184
F measure
0.6982 ± 0.1135
Per class
Kappa
0.591 ± 0.136
KB relative information score
0.6105 ± 0.1222
Mean absolute error
0.0918 ± 0.028
Mean prior absolute error
0.2116 ± 0.0025
Number of instances
2140
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.7002 ± 0.1104
Per class
Predictive accuracy
0.6981 ± 0.1014
Prior entropy
2.1835 ± 0.0748
Recall
0.6981 ± 0.1014
Per class
Relative absolute error
0.4338 ± 0.1318
Root mean prior squared error
0.3244 ± 0.0039
Root mean squared error
0.2888 ± 0.0491
Root relative squared error
0.8901 ± 0.151
SciMark benchmark
1121.9282[667.7797272749358995.8423494929701531.5553634349574947.73679293915542466.726904366617]