Abstract: A computer-implemented method includes generating a candidate machine learning model. The candidate machine learning model is configured to generate probability scores for members. The method includes training the candidate machine learning model using an initial data set, testing the candidate machine learning model to generate performance metrics indicative of a bias value correlated to the candidate machine learning model, and determining whether the performance metrics are below a threshold. In response to determining that the performance metrics are below the threshold the method includes generating a proxy feature based on the bias value, adding the proxy feature to the candidate machine learning model, calculating weights based on the bias value, updating the initial data set using the weights to generate an updated data set, and retraining the candidate machine learning model using the updated data set.

Abstract: The present invention is directed to an extended release pharmaceutical composition such as tablets and capsules, and in particular to a matrix tablet composition comprising a therapeutically effective quantity of Tolterodine or pharmaceutical acceptable salts thereof incorporated in a hydrophobic matrix comprising water insoluble polymer and wax and a method for the preparation thereof.