Model Optimization
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CSV format with header, Last column should be the desired optimized value (ie yield)

Example data from Yin-Carter paper

Model Complexity:

User Limits (not required):



Model Optimization

uses the coefficients and parameters from your experiments to estimate what the most likely model is.

  • This is done using Stepwise AIC (Akaike information criterion) regression.

  • This is a maximum information algorithm to estimate what the best model is given experimental results.

  • A Monte Carlo search is then employed to maximize the yield given these results.