Research Article
A Machine Learning Approach to Predict Air Quality in California
Table 4
Selected variables’ summary per target variable.
| Features | Pollutants and particulates | CO | NO2 | SO2 | Ozone | PM2.5 |
| CO | | | | | | NO2 | | | | | | SO2 | | | | | | Ozone | | | | | | PM2.5 | | | | | | Wind speed | | | | | | Relative humidity | | | | | | Outdoor temperature | | | | | | CO roll mean | | | | | | CO lag features | | | | | | SO2_roll_mean | | | | | | SO2 lag features | | | | | | NO2_roll_mean | | | | | | NO2 lag features | | | | | | Ozone lag features | | | | | | Ozone roll mean | | | | | | PM2.5 lag features | | | | | | PM2.5 roll mean | | | | | | Is_Weekend | | | | | | Hour_sin | | | | | | Hour_cos | | | | | | Month_sin | | | | | | Month_cos | | | | | |
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