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. 2022 Sep 19;10:2700414. doi: 10.1109/JTEHM.2022.3207825

TABLE 1. Hyperparameters of AECOPD Models.

Model Parameter Value
Random forest n_estimators 300
min_samples_split 4
max_depth 30
Decision tree min_samples_leaf 1
min_samples_split 2
Linear discriminant analysis solver Lsqr
shrinkage auto
AdaBoost n_estimators 45
learning_rate 1
Deep neural network hidden layers (45, 45, 45)
class_weights 0:10, 1:50
Adam beta1, beta2 0.7, 0.8