Predictive model

A predictive model is like a guess machine.

Let's say you have a bag of colorful candies, but you don't know what colors are inside. You want to guess how many red candies are in the bag.

First, you would look at the outside of the bag and see if there are any clues. Maybe there is a picture of a red candy on the outside, so you might guess that there are a lot of red candies inside.

But you want to be more sure of your guess. So, you might use a predictive model. You could ask other people who have the same bag how many red candies they found. Using this information, you could create a model that will help you make a better guess.

The model might look at things like the size of the bag, how many candies are in the bag, and how many red candies the other people found. With this information, the model could predict how many red candies you are likely to find in your own bag.

Overall, a predictive model uses information to make a guess about what might happen in the future. It helps you make better decisions by giving you more information to work with.