Deploying Machine Learning Techniques for Human Emotion Detection

Table 6

List of hyperparameters of adopted classifiers.

Classifier	Hyperparameters
DT	Criterion: “gini”
	min_samples_leaf: 1
	min_samples_split: 2
	ccp_alpha: 0
KNN	n_neighbors:1
	leaf_size: 30
	Metric: “minkowski”
	p: 2
	Weights: “uniform”
SVM	C: 275
	Gamma: “scale”
	Kernel: “rbf”
Gaussian NB	var_smoothing: 1e-09
MLP	Num_hidden_layers:2
	hidden_layer_sizes: [28, 28]
	Activation: “relu”
	max_iter: 200
	Solver: “adam”
QDA	tol = 0.0001
RF	n_estimators:79
	Criterion: “entropy”
LR	Solver: “lbfgs”
	C: 1.0
	fit_intercept: true