Table 3 Hyperparameters and their values for models.

From: Clustering-cum-regression based model and performance analysis for early prediction of heart disease

Model

Hyperparameter

Value

Random Forest

n_estimators

200

max_depth

10

min_samples_split

2

min_samples_leaf

1

max_features

sqrt

SVM

kernel

rbf

C

1.0

gamma

scale

class_weight

balanced

KNN

n_neighbors

5

weights

distance

metric

euclidean

algorithm

auto