fig2

Figure 2. Basics of machine learning. (A) life cycle of ML models; (B) Key ingredients of ML models, i.e., data, algorithm, and output. ML: Machine learning; XGB: extreme gradient boost; RF: random forest; DL: deep learning; ANN: artificial neural network; RNN: recurrent neural networks; RL: reinforcement learning.