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The flow of the stacking algorithm. Model_1 refers to the sequence information model, and Model_2 refers to the evolutionary information model. The class probability outputs of two models are combined to serve as a new training set to train the meta-classifier (MLR). When testing unknown membrane protein samples, we take the result of the meta-classifier as the final output
