Abstract: According to an aspect, there is provided an apparatus for providing a user-customisable machine learning model, MLM, the apparatus comprising one or more processing units configured to receive measurements from one or more sensors that monitor one or more aspects of a user, an object and/or an environment of the user; receive, via a user interface, one or more user-defined labels for one or more parts of the received measurements; form a training measurement set from the one or more parts and the one or more user-defined labels; and train an MLM with the training measurement set to generate a trained MLM, wherein the trained MLM is such that the trained MLM is able to determine one or more user-defined labels for further measurements received from the one or more sensors.