Advanced Infrastructure Penetration Testing

Supervised learning

Supervised learning is used when we have input variables (I) and an output variable (O), and we need to map the function from the input to the output, as a learning algorithm. Supervised learning can be represented by two categories: classification, which is used when the output is a category, and regression, which is used when the output is a real value. The following are some supervised machine learning algorithms:

• Decision trees: A decision tree is a machine learning algorithm that uses a tree-like graph and its possible outputs. These outputs could be YES/NO or continuous variables. This algorithm has four important terms:

• • Root node: This represents all the data
  • Splitting: This is the operation of dividing a node ...