Run
93660

Run 93660

Task 1823 (Supervised Classification) iris 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
0.953
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Build CPU time
0.0002
Cross-validation details (5 times 2-fold Crossvalidation)
Build memory
759405808
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9373
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.906
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
685.6537
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0418
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
750
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9379
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9373
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9373
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.094
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2044
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.4336
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
947.5974