TABLE 4.

Hyperparameter values used to implement the neural networks A. flavus-maize (NN-A. flavus-maize) and F. verticilloides-maize (NN-F. verticilloides-maize) models.

Hyperparameter	NN-A. flavus-maize	NN-F. verticilloides-maize
Number of input neurons	7	7
Number of hidden layers	1	1
Number of neurons per hidden layer	80	50
Activation function input—hidden	ReLU (Eq. 1)	ReLU (Eq. 1)
Activation function hidden—output	Logistic (Eq. 2)	Logistic (Eq. 2)
L2 regularization term	0.0001	1.024
Parameters update algorithm	Adam	LBFGS

The number of input neurons is defined as the sum of the categorical and continuous data. The hyperparameter values were selected by following a grid searching procedure.