Error Prediction of Air Quality at Monitoring Stations Using Random Forest in a Total Error Framework
Instead of a flag valid/non-valid usually proposed in the quality control (QC) processes of air quality (AQ), we proposed a method that predicts the <i>p</i>-value of each observation as a value between 0 and 1. We based our error predictions on three approaches: the one proposed by the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/21/6/2160 |