Table 4 Model parameter configurations used for TLI prediction in multi-sensor experiments

From: Resolving inherent constraints in eutrophication monitoring of small lakes using multi-source satellites and machine learning

Model

S2

GF-1

HJ-2

PS

LR

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XGBR

learning_rate = 0.04, gamma = 0.3

learning_rate = 0.4, gamma = 0.4

learning_rate = 0.4, gamma = 0.3

learning_rate = 0.0003, gamma = 0.3

CBR

learning_rate = 0.007, L2_leaf_reg = 7

learning_rate = 0.007, L2_leaf_reg = 7

learning_rate = 0.008, L2_leaf_reg = 7

learning_rate = 0.006, L2_leaf_reg = 18

TPFNR

n_estimators = 30

n_estimators = 30

n_estimators = 30

n_estimators = 50