Hands-On Genetic Algorithms with Python

Supervised learning algorithms

As we mentioned previously, each supervised learning model consists of a set of internal tunable parameters and an algorithm that tunes these parameters in an attempt to achieve the required result.

Some common supervised learning models/algorithms include the following:

• Decision Trees: A family of algorithms that utilizes a tree-like graph, where branching points represent decisions and the branches represent their consequences.
• Random Forests: Algorithms that create a large number of decision trees during the training phase and use a combination of their outputs.

• Support Vector Machines: Algorithms that map the given inputs as points in space so that the inputs that belong to separate categories are divided ...