Run
25660

Run 25660

Task 1 (Supervised Classification) anneal Uploaded 23-09-2014 by Jan van Rijn
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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
0.6565
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0037
Cross-validation details (10-fold Crossvalidation)
Build memory
51528661.6
Cross-validation details (10-fold Crossvalidation)
F measure
0.7624
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4347
Cross-validation details (10-fold Crossvalidation)
KB relative information score
415.1078
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0546
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1343
Cross-validation details (10-fold Crossvalidation)
Number of instances
898
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_32, amd64, Linux, 3.5.0-54-generic]
Precision
0.7016
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.8363
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.2149
Cross-validation details (10-fold Crossvalidation)
Recall
0.8363
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.4063
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2582
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.2336
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.9046
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1817.8958[1210.85776785504551630.249527196899917.72799485718841706.6666518317333623.9770696272967]