Information entropy example

Information entropy is a measure of how much information there is in some specific data. It isn't the length of the data, but the actual amount of information it contains. For example, one text file could contain “Apples are red.” and another text file could contain “Apples are red. Apples are red.

1. What do you mean by information entropy?
2. What is an example of information theory?
3. What is the goal of information entropy?
4. Is entropy between 0 and 1?

What do you mean by information entropy?

Generally, information entropy is the average amount of information conveyed by an event, when considering all possible outcomes.

What is an example of information theory?

For example, identifying the outcome of a fair coin flip (with two equally likely outcomes) provides less information (lower entropy) than specifying the outcome from a roll of a die (with six equally likely outcomes).

What is the goal of information entropy?

In information theory, the major goal is for one person (a transmitter) to convey some message (over a channel) to another person (the receiver). To do so, the transmitter sends a series (possibly just one) partial messages that give clues towards the original message.

Is entropy between 0 and 1?

Entropy is measured between 0 and 1. (Depending on the number of classes in your dataset, entropy can be greater than 1 but it means the same thing , a very high level of disorder.