Apparatus and method for multivariate prediction of contact center metrics using machine learning

In a predictor device, a method for predicting a metric of a contact center, comprising:

• receiving, by the predictor device, contact center operational data associated with a time duration;
• training, by the predictor device, a set of algorithms and their available hyperparameters with the contact center operational data to generate a set of data models;
• generating, by the predictor device, a score associated with each data model of the set of data models, the score quantifying a performance of each algorithm and its available hyperparameters on the contact center operational data;
• identifying, by the predictor device, the data model having the largest score as a best learning model for the time duration;
• and
• generating, by the predictor device, a contact center metric prediction based on the best learning model for the time duration.