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Schematic representation of machine learning classification. AC autoencoder, CA cluster analysis, DL deep learning, DQN Deep Q-Network, DT decision tree, LIR linear regression, LOR logistic regression, PCA principal component analysis, RF random forest, SARSA State-Action-Reward-State-Action, SVM support vector machine
