What is regression and classification?

What is regression and classification?

Fundamentally, classification is about predicting a label and regression is about predicting a quantity. That classification is the problem of predicting a discrete class label output for an example. That regression is the problem of predicting a continuous quantity output for an example.

What are classification problems in machine learning?

A classification problem is when the output variable is a category, such as “red” or “blue” or “disease” and “no disease”. A classification model attempts to draw some conclusion from observed values. Given one or more inputs a classification model will try to predict the value of one or more outcomes.

What are the different types of categorical variables?

Categorical variables. Categorical variables represent groupings of some kind. They are sometimes recorded as numbers, but the numbers represent categories rather than actual amounts of things. There are three types of categorical variables: binary, nominal, and ordinal variables. Binary vs nominal vs ordinal variables.

Which is the best definition of a problem?

A problem is usually an event or question that is currently not working as well as you would like and prefer to find a more workable solution.

Which is an example of condition based maintenance?

An important concept within Condition Based Maintenance is the P-F curve shown in the figure below: The curve shows that as a failure starts manifesting, the equipment deteriorates to the point at which it can possibly be detected (point “P”). If the failure is not detected and mitigated, it continues until a functional failure occurs (point “F”).

What are the different types of innovation problems?

Innovation is, at its core, about solving problems — and there are as many ways to innovate as there are different types of problems to solve. Just like we wouldn’t rely on a single marketing tactic for the life of an organization, or a single source of financing, we need to build up a portfolio of innovation strategies designed for specific tasks.