“…The primary objective is to assess the efficacy of several widely employed machine learning algorithms in the task of reconstructing Chl-a concentration patterns specific to this region. The machine learning algorithms employed in this study include Multilayer Perceptron (MLP) [4,27,28], Random Forest (RF) [5,16,25,29,30], Gradient Boosted Decision Tree (GBDT) [28,29], and K-Nearest Neighbor (KNN) [14,18,23,27,31]. Our model differs from previous studies in that it utilizes easily accessible data on ocean dynamical processes as explanatory variables.…”