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Practical Considerations for Accuracy Evaluation in Sensor-Based Machine Learning and Deep Learning
Accuracy evaluation in machine learning is based on the split of data into a training set and a test set. This critical step is applied to develop machine learning models including models based on sensor data. For sensor-based problems, comparing the accuracy of machine learning models using the tra...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6719906/ https://www.ncbi.nlm.nih.gov/pubmed/31404972 http://dx.doi.org/10.3390/s19163491 |