Learning agent and teacher both take input from surrounding environment. Teacher has the desired answer key for the given problem.

Whereas, learning agent processes the given input and gets an output. This actual output is subtracted from the desired output by adder, which shows the error in the actual output.

This error is given as input to the learning agent, so that it can learn from this error and while generating output for the next time it can try to remove that error.

Supervised learning is performed under the supervision of a teacher. Teacher can be an agent which has a correct answer for each example. This answer can be a variable in numeric form, a categorical variable, etc.

Supervised learning method guides learning agent with the help of teacher to get better results.