A word on accuracy

Sometimes, throwing more processing power or finding more data or applying another trick of the AI practitioner’s book can improve the accuracy of a model.

However, always keep in mind that you may be overfitting, or even that the data can not be linked to the expected results in 100% of the cases

Little things are needed for people to get offset by a product or idea. They got in a fight with their partner, they are very busy at work, or they just have something else on their mind. This will influence their buying decision greatly but will not necessarily transpire from the data in your data set as you probably don’t have this information in your data set.

So keep in mind that a model’s accuracy is capped by the variables you have in your data set, and that sometimes you may need to be content with a 85% accuracy…