Can some one please explain Isolation Forests more clearly? Everywhere I search, I find the same explanation:
Isolation Forest ‘isolates’ observations by randomly selecting a feature and then randomly selecting a split value between the maximum and minimum values of the selected feature.
Let's take an example to solve this:
x1 = [2, 1, 4, 6, 4, 2, 1, 2, 3, 4, 19]
How would I say that 19 is an outlier?