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Comparison of machine learning methods in forecasting and characterizing the birch and grass pollen season

Fig 5

Prediction examples.

The observed (gray) and predicted (green or orange) Betula (A) and Poaceae (B) pollen concentrations. The predictions were made by the XGBoost model for 3 randomly selected pollen seasons from the test set.

Fig 5

doi: https://doi.org/10.1371/journal.pone.0332093.g005