Testing for data and model quality

So far, we have seen the technical difficulties that we face in the implementation of our detection systems.

More generally, every time we decide to use algorithms within our cybersecurity solutions, we must take into account the aspects of data quality and model quality, in order to ensure not only the accuracy of predictions, but also their reliability.

Let's continue by analyzing the aspects concerning the data quality process.

Assessing data quality

As we have repeated several times throughout the book, and particularly in Chapter 9, Evaluating Algorithms, the choice of algorithm is undoubtedly important, but the selection of data is even more crucial for the achievement of our objectives...