OpenML
94111

Run 94111

Task 3045 (Supervised Classification) wine Uploaded 08-12-2014 by Joaquin Vanschoren
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Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

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
0.8175
Per class
Cross-validation details (33% Holdout set)
Build memory
68854832
Cross-validation details (33% Holdout set)
F measure
0.7541
Per class
Cross-validation details (33% Holdout set)
Kappa
0.6347
Cross-validation details (33% Holdout set)
KB relative information score
38.4032
Cross-validation details (33% Holdout set)
Mean absolute error
0.1609
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4356
Cross-validation details (33% Holdout set)
Number of instances
58
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7667
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.7586
Cross-validation details (33% Holdout set)
Prior entropy
1.5674
Cross-validation details (33% Holdout set)
Recall
0.7586
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3694
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4648
Cross-validation details (33% Holdout set)
Root mean squared error
0.4011
Cross-validation details (33% Holdout set)
Root relative squared error
0.863
Cross-validation details (33% Holdout set)
SciMark benchmark
946.8522