Several chemical tests are performed on different white wines. The goal is to predict
their quality based on those tests.
The quality is represented by a score between 0 and 10.
The input variables are (based on physicochemical tests):
- fixed acidity
- volatile acidity
- citric acid
- residual sugar
- free sulfur dioxide
- total sulfur dioxide
We separated the dataset by score, each quality of wine in its class/file. Thanks to
our AI algorithms, we obtain great results, 99% accuracy. Which means 99% of
the time, our model correctly predicted the quality of the wine.
And you could run all that on a microcontroller!