Forward feature selection on normalized full-spectrum transmission data with linear regression and 10-fold cross-validation reduces MSE for food-dye concentration from >22,000 to 3.87.
Figure 2(a) displays the full set of food dye solutions, prepared by serial dilution from a 1000 -unit stock solution
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Multi-Wavelength Machine Learning for High-Precision Colorimetric Sensing
Forward feature selection on normalized full-spectrum transmission data with linear regression and 10-fold cross-validation reduces MSE for food-dye concentration from >22,000 to 3.87.