Regression

This predicts a continuous output.

Examples:

• Predict height of plant, based on rain fall

• Predicts salary, based on age and internet access

• Predict MPG, based on size and year

Classification

This predicts a discrete label.

It can be used to predict two outcomes, or to predict multiple outcomes,

known as Binary and Multi-class, Classification respectively

Examples Binary:

• Email, spam or not

• Will it rain, Yes or No

Examples Multi:

• Is it a Pear, Apple, or Peach

• What letter is it

• What size of fruit is it, small medium or large