Abstract | ||
---|---|---|
Neural network performance measurements are discussed. Included are percent correct, average sum-squared error, receiver operating characteristics (ROC) curve measurements, other measurements based on ROC curve parameters, and the chi-square goodness-of-fit metric. The specific measure chosen depends on the type of system and other more loosely defined parameters such as the level of technical sophistication of the system end user |
Year | DOI | Venue |
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1990 | 10.1109/CBMSYS.1990.109410 | Chapel Hill, NC |
Keywords | Field | DocType |
medical computing,neural nets,ROC curve parameters,average sum-squared error,biomedical applications,chi-square goodness-of-fit metric,percent correct,receiver operating characteristics | Data mining,Receiver operating characteristic,End user,Computer science,Error detection and correction,Artificial intelligence,Artificial neural network,Sophistication,Machine learning | Conference |
Citations | PageRank | References |
3 | 0.53 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Russell C. Eberhart | 1 | 18 | 4.73 |
Roy W. Dobbins | 2 | 16 | 3.94 |