Table 2 Applied hyperparameters for three classical machine learning (CML) models.

From: Investigating the relationship between CSAT scores and prefrontal fNIRS signals during cognitive tasks using a quantum annealing algorithm

No

Model

Hyperparameter

Value

1

Support vector machine (SVM)

Kernel

Radial basis function (RBF)

tol

0.001

C

1.0

epsilon

0.1

2

Decision tree (DT)

criterion

‘squared_error’

min_sample_split

2

min_samples_leaf

1

min_impurity_decrease

0.0

3

XGBoost regressor

n_estimator

100

learning_rate

0.08

gamma

0

subsample

0.75

max_delta_step

0

max_depth

7