Hands-On Artificial Intelligence for Cybersecurity

Decision trees rationales

Decision trees use binary trees to analyze and process data, thus succeeding in formulating predictions concerning both values ​​expressed in numerical and categorical form, accepting both numerical values ​​and qualitative information as input data.

To intuitively understand the strategy adopted by decision trees, let's see the typical steps involving their implementation:

1. The first step consists in subdividing the original dataset into two child subsets, after having verified a binary condition, following the first subdivision, we will have two child subsets as a result, in which the binary condition is verified or falsified.
2. The child subsets will be further subdivided on the basis of further conditions; at each ...