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Table 1 Statistics and information on general regression neural network-fruit fly optimization algorithm (GRNN-FOA) models for growth, paclitaxel biosynthesis and secretion in Corylus avellana cell culture

From: A hybrid model based on general regression neural network and fruit fly optimization algorithm for forecasting and optimizing paclitaxel biosynthesis in Corylus avellana cell culture

Measured factors Training subsets Test subsets
  R2 RMSE MBE R2 RMSE MBE
Dry weight (g l−1) 0.92 0.48 − 0.26 × 10–15 0.88 0.81 0.03
Intracellular paclitaxel (µg l−1) 0.96 7.38 − 2.22 × 10–15 0.90 10.99 0.65
Intracellular paclitaxel (µg g−1DW) 0.93 0.93 − 0.19 × 10–15 0.91 1.37 0.01
Extracellular paclitaxel (µg l−1) 0.97 4.43 − 0.47 × 10–15 0.90 6.93 − 0.09
Total yield of paclitaxel (µg l−1) 0.97 11.31 − 3.84 × 10–15 0.90 16.93 0.55
Extracellular paclitaxel portion (%) 0.95 1.46 − 0.76 × 10–15 0.88 2.88 − 0.23
  1. R2 coefficient of determination, RMSE root mean square error, MBE mean bias error