OpenML
93567

Run 93567

Task 18 (Supervised Classification) mfeat-morphological Uploaded 08-12-2014 by Joaquin Vanschoren
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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
0.7092
Per class
Cross-validation details (10-fold Crossvalidation)
Build CPU time
0.0044
Cross-validation details (10-fold Crossvalidation)
Build memory
296475786.4
Cross-validation details (10-fold Crossvalidation)
F measure
0.4669
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.4183
Cross-validation details (10-fold Crossvalidation)
KB relative information score
905.0919
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.1047
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.18
Cross-validation details (10-fold Crossvalidation)
Number of instances
2000
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4641
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.4765
Cross-validation details (10-fold Crossvalidation)
Prior entropy
3.3219
Cross-validation details (10-fold Crossvalidation)
Recall
0.4765
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.5817
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3236
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0786
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
946.3269