DEVELOPMENT... OpenML
Run
201011

Run 201011

Task 1935 (Supervised Classification) vote 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
0.9734
Per class
F measure
0.9303
Per class
Kappa
0.8542
KB relative information score
3590.0514
Mean absolute error
0.083
Mean prior absolute error
0.4742
Number of instances
4350
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9324
Per class
Predictive accuracy
0.9299
Prior entropy
0.9627
Recall
0.9299
Per class
Relative absolute error
0.1749
Root mean prior squared error
0.4869
Root mean squared error
0.2319
Root relative squared error
0.4763
SciMark benchmark
939.5205
UserCPU time millis
30
UserCPU time millis testing
30