From: An ensemble model for predicting dispositions of emergency department patients
Algorithm | Setting |
---|---|
Random Forest (for structured data) | λ n_estimators: 1000 λ max_features: 237 |
Random Forest (for unstructured data) | λ n_estimators: 1000 λ max_features: 250 |
Multilayer Perceptron | λ One hidden layer with 64 neurons λ Activation function: relu λ Optimizer: Adam λ Loss function: categorical_crossentropy |