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Fig. 2 | BMC Psychology

Fig. 2

From: Predicting depression and unravelling its heterogeneous influences in middle-aged and older people populations: a machine learning approach

Fig. 2

The architecture of the hybrid model for the estimation of depression. The raw dataset used Waves 1–4 depression data, and the output predicted data of Wave 4 and the outcome of Wave 5 were constructed into a new dataset. MSE: mean squared error; ML: machine learning; LR; logistic regression; XGBOOST: extreme gradient boosting; RF: random forest; SVM: support vector machine; CNN: convolutional neural network

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