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Best Linear Models for Air Quality Sensors by dinhbaolrr123 is a document available to read on EtoBox.

What is Best Linear Models for Air Quality Sensors about?

This document outlines a project focused on calibrating low-cost electrochemical sensors for measuring O3 and NO2 concentrations in ambient air using various linear and nonlinear regression models. The results indicate that the K-Nearest Neighbors model achieved the lowest mean absolute error (MAE) for both pollutants, outperforming other models including SVR and ensemble methods. Future improvements include exploring advanced stacking techniques and feature engineering to enhance model performance.

Author

dinhbaolrr123

Language

EN