DEVELOPMENT... OpenML
Run
201014

Run 201014

Task 1937 (Supervised Classification) ionosphere Uploaded 27-02-2015 by Felicia West
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Flow

weka.IBk(4)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(4)_K3
weka.IBk(4)_W0
weka.IBk(4)_Atrue

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.

22 Evaluation measures

Area under ROC curve
0.8879
Per class
F measure
0.8503
Per class
Kappa
0.6679
KB relative information score
2338.5807
Mean absolute error
0.1496
Mean prior absolute error
0.4604
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.872
Per class
Predictive accuracy
0.8581
Prior entropy
0.9425
Recall
0.8581
Per class
Relative absolute error
0.3249
Root mean prior squared error
0.4797
Root mean squared error
0.3371
Root relative squared error
0.7028
SciMark benchmark
1318.1432
UserCPU time millis
30
UserCPU time millis testing
30