DEVELOPMENT... OpenML
Run
48235

Run 48235

Task 1714 (Learning Curve) breast-w Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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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
0.975 ± 0.0195
Per class
Build CPU time
0.0001
Build memory
4130435632
F measure
0.9527 ± 0.0336
Per class
Kappa
0.8952 ± 0.0738
KB relative information score
0.8951 ± 0.0708
Mean absolute error
0.0459 ± 0.0309
Mean prior absolute error
0.4519 ± 0.0014
Number of instances
699
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.9527 ± 0.0334
Per class
Predictive accuracy
0.9528 ± 0.0337
Prior entropy
0.9293 ± 0.0043
Recall
0.9528 ± 0.0337
Per class
Relative absolute error
0.1015 ± 0.0683
Root mean prior squared error
0.4753 ± 0.0015
Root mean squared error
0.2094 ± 0.0866
Root relative squared error
0.4406 ± 0.182
SciMark benchmark
1652.2022