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...
Main Authors: | Issam Hammad, Kamal El-Sankary |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-08-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/16/3491 |
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