Rapid Detection of Hybrid Maize Parental Lines Using Stacking Ensemble Machine Learning

Table 3

Setting of ML model parameters.

No	Method/model	Hyperparameter settings	References
1	Logistic regression	Regularization = ridge (L2); cost strength (C) = 1	[20]
2	Support vector machine	Kernel = radial basis function (RBF),; tolerance = 0.001, degree = 3, cost = 1.00, and; iteration = 100	[21]
3	Random forest	N_estimator = 70, criterion = entropy, and; limit depth = 3	[22]
4	KNN	Neighbors = 5, weight = uniform (all neighbors equally weighted), and metric = Euclidean
5	Ensemble model (stacking)	Final estimator = logistic regression; classifiers = random forest, support vector machine, and KNN	[23]