Run
173352

Run 173352

Task 1814 (Supervised Classification) heart-h 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
0.7733
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.7977
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.5575
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
762.2643
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.08
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.1867
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
1470
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7973
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.8
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.0314
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.8
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.4285
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3037
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.2828
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.9313
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1465.2979