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Comparison between DNN and classical machine learning for CCS prediction. Blue sections are purely computational, making DNN an almost completely computational approach. Classical machine learning requires an input of well-defined and comprehensive molecular descriptors, which can be adversely influenced by domain knowledge (e.g., CCS is correlated with the m/z value), reducing its accuracy.
