Towards a Machine Learning Driven Trust Management Heuristic for the Internet of Vehicles

. 2023 Feb 20;23(4):2325. doi: 10.3390/s23042325

Algorithm 2 Classification and Decision Boundary

Input: FM1/FM2, Labels

Output: Accuracy, Decision boundary

1:
Initiate n classification models with k fold validation (k = 5)
2:
for $z = 1 t o n$ do
3:
Find the classification accuracy and decision boundary of each machine learning model
4:
$[A c c_{z}, B_{z}] = m o d e l_{z} (F M 1 / F M 2, L a b e l s, k)$
5:
end for