Run
87870

Run 87870

Task 283 (Supervised Classification) vehicle Uploaded 03-12-2014 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)_B8

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
0.6872
Per class
Cross-validation details (33% Holdout set)
Build CPU time
0.021
Cross-validation details (33% Holdout set)
Build memory
777436848
Cross-validation details (33% Holdout set)
F measure
0.5079
Per class
Cross-validation details (33% Holdout set)
Kappa
0.3742
Cross-validation details (33% Holdout set)
KB relative information score
120.0069
Cross-validation details (33% Holdout set)
Mean absolute error
0.2366
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3748
Cross-validation details (33% Holdout set)
Number of instances
279
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
0.524
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5269
Cross-validation details (33% Holdout set)
Prior entropy
1.9991
Cross-validation details (33% Holdout set)
Recall
0.5269
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6312
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4328
Cross-validation details (33% Holdout set)
Root mean squared error
0.4864
Cross-validation details (33% Holdout set)
Root relative squared error
1.1237
Cross-validation details (33% Holdout set)
SciMark benchmark
904.8754