By systematically analyzing combinations of four resonant predictors using Ridge Regression modeling, we reveal a clear trend: the inclusion of additional predictors leads to consistent improvements in precision, with some combinations achieving over an order of magnitude reduction in mean squared error.
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Machine Learning Enabled Multidimensional Data Utilization Through Multi-Resonance Architecture: A Pathway to Enhanced Accuracy in Biosensing.
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