Run
25064

Run 25064

Task 98 (Learning Curve) sonar 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
0.8688 ± 0.0776
Per class
Build CPU time
0.0001
Build memory
4713296304.736
F measure
0.8682 ± 0.0778
Per class
Kappa
0.735 ± 0.1548
KB relative information score
0.7301 ± 0.1525
Mean absolute error
0.1351 ± 0.0755
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.8.0-44-generic]
Precision
0.8701 ± 0.0747
Per class
Predictive accuracy
0.8688 ± 0.0763
Prior entropy
0.9967 ± 0.0043
Recall
0.8688 ± 0.0763
Per class
Relative absolute error
0.2715 ± 0.1517
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.3604 ± 0.1128
Root relative squared error
0.7224 ± 0.2262
SciMark benchmark
1153.0414[700.7796635294741996.8727570475086541.7466009259946966.60770768615112559.20017443808]