Smote algorithm When our dataset has 5 or more attributes, what will be the method of producing a new sample with Smote algorithm?
How will the Euclidean distance with 5 or more attributes be calculated?

Euclidean distance $d$ between vectors $x,y\in\mathbb R^n$ is:
$$
d(x,y)=
\sqrt{
\sum_{i=1}^n \bigg(
x_i-y_i
\bigg)^2
}
$$
If the dimension is $2$, that’s the formula. If the dimension is $5$, that’s the formula. If the dimension is $1234567890987654321$, that’s the formula.
However, SMOTE tends to be portrayed as a solution to something that isn’t such a problem.
