DEVELOPMENT... OpenML
Run
201949

Run 201949

Task 4514 (Supervised Classification) visualizing_ethanol 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
0.5224
Per class
F measure
0.5073
Per class
Kappa
0.0142
KB relative information score
24.9268
Mean absolute error
0.4846
Mean prior absolute error
0.4997
Number of instances
880
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5074
Per class
Predictive accuracy
0.508
Prior entropy
0.9996
Recall
0.508
Per class
Relative absolute error
0.9697
Root mean prior squared error
0.4999
Root mean squared error
0.5701
Root relative squared error
1.1405
SciMark benchmark
942.9518