Run
173450

Run 173450

Task 2125 (Supervised Classification) eucalyptus Uploaded 21-02-2015 by Jan van Rijn
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Flow

weka.OneR(17)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(17)_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.

22 Evaluation measures

Area under ROC curve
0.7417
Per class
Cross-validation details (33% Holdout set)
F measure
0.5968
Per class
Cross-validation details (33% Holdout set)
Kappa
0.4814
Cross-validation details (33% Holdout set)
KB relative information score
125.6406
Cross-validation details (33% Holdout set)
Mean absolute error
0.162
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3134
Cross-validation details (33% Holdout set)
Number of instances
242
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.6465
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.595
Cross-validation details (33% Holdout set)
Prior entropy
2.2629
Cross-validation details (33% Holdout set)
Recall
0.595
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.5169
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3959
Cross-validation details (33% Holdout set)
Root mean squared error
0.4025
Cross-validation details (33% Holdout set)
Root relative squared error
1.0166
Cross-validation details (33% Holdout set)
SciMark benchmark
1466.6185