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Table 2 Optimizing input variables for individual cultivars using Response optimizer

From: Machine learning models for optimization, validation, and prediction of light emitting diodes with kinetin based basal medium for in vitro regeneration of upland cotton (Gossypium hirsutum L.)

Optimization

STN-468

GSN-12

Preconditioning KIN concentration/(mg·L−1)

20.00

5.00

Postconditioning KIN concentration/(mg·L−1)

0.05

0.05

R-LED /%

80.00

80.00

Shoot count

5.83

6.35

SE fit

0.37

0.31

95% CI

(5.099; 6.561)

(5.735; 6.964)

  1. SE standard error, CI confidence interval