DEVELOPMENT... OpenML
Run
201610

Run 201610

Task 3892 (Supervised Classification) hiva_agnostic 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
0.7494
Per class
F measure
0.9591
Per class
Kappa
0.324
KB relative information score
-1544.2199
Mean absolute error
0.0478
Mean prior absolute error
0.0682
Number of instances
4229
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9564
Per class
Predictive accuracy
0.9643
Prior entropy
0.221
Recall
0.9643
Per class
Relative absolute error
0.7017
Root mean prior squared error
0.1844
Root mean squared error
0.1788
Root relative squared error
0.9701
SciMark benchmark
1318.1432
UserCPU time millis
274910
UserCPU time millis testing
274910