Machine learning techniques for classifying driver behavior

A system for classifying driving behavior, comprising:

• a processing circuitry;
• and
• a memory, the memory containing instructions that, when executed by the processing circuitry, configure the system to:
• training, via a supervised machine learning process, a classifier using a labeled training data set including at least one set of training features and corresponding training labels, wherein the classifier is trained to classify driving behavior, wherein the training features include training vehicle telemetries, wherein the training labels include a plurality of driving labels, wherein each of the plurality of driving labels indicates a characteristic of a respective distinct driver of a plurality of drivers;
• and
• applying the classifier to an application data set including a plurality of application features to output a classification of driving behavior based on the application features, wherein the application features are extracted from application data including application vehicle telemetries for a vehicle.