Table 11 Unfolding the significant interaction between model x input for mean absolute error (MAE) between the observed and estimated values of germination in soybean seeds by different machine learning models and inputs.

From: Predicting the quality of soybean seeds stored in different environments and packaging using machine learning

Models

T

P + T

ST + P + T

ST + T

P

ST + P

ST

ANN

13.33 Aa

13.65 bA

9.77 aC

11.61B

13.70 aA

14.71 aA

12.16 aB

REPTree

11.75 aA

11.76 bA

8.95 aB

9.10 bB

12.67 aA

9.10 cB

11.89 aA

LR

11.77 aA

11.79 bA

11.26 aA

11.25 aA

12.67 aA

11.89 bA

11.87 aA

M5P

11.77 aA

11.84 bA

9.05 aB

9.21 bB

12.67 aA

11.89 bA

11.87 aA

RF

11.76 aB

17.01 aA

8.95 aC

9.10 bC

12.68aB

11.92 bB

11.89 aB

  1. Means followed by equal lowercase letters in the same column and equal uppercase letters in the same row do not differ by the Scott-Knott test at 5% probability.
  2. T temperature, P packaging, ST storage time.
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