Application of Improved SMOTE and XGBoost Algorithm in the Analysis of Psychological Stress Test for College Students

Table 2

Parameters configuration.

Algorithm	Best parameter configuration
RF	n_estimators = 300, max_depth = 18, and min_samples_split = 4
SVM	C = 1150, kernel = ‘poly', gamma = 0.4, degree = 2, and epsilon = 0.01
BP	nb_epoch = 200, batch_size = 16, optimizer = ‘Adam', and activation = ‘relu'
KNN	n_neighbors = 5, leaf_size = 15, and algorithm = ‘auto'
XGBoost	max_depth = 6, learning_rate = 0.05, and n_estimators = 300