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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...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6719906/ https://ncbi.nlm.nih.gov/pubmed/31404972 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19163491 |
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