Table 1 Grid-Search parameters of ML algorithms

K-NN

n_neighbors = {1, …, 20}, metric = {minkowski, euclidean, manhattan}

DT

max_depth = {3, …, 8}, criterion = {gini, entropy}

LR

C = {0.01, 0.012, 0.013, …, 10,000}, penalty = {l1, l2, elasticnet}, solver = {newton-cg, lbfgs, liblinear}

SVM

C = {0, 0.1, 0.2, …, 1.9}, gamma = {scale, auto}, kernel = {linear, poly, rbf, sigmoid}

MLP

hidden_layer_sizes = {1, …, 20}, max_iter = {1000, 1500, 2000}, solver = {lbfgs, sgd, adam}

GNB

var_smoothing = {0.01, 0.011, 0.012, …, 100}