Method and system to generate machine learning model for evaluating quality of data

A system for generating a machine learning model based on first sensor data and first map data, the system comprising:

• at least one memory configured to store computer executable instructions;
• and
• at least one processor configured to execute the computer executable instructions to:
• obtain first sensor features of the first sensor data associated with a road object in a first geographic region, first map features of the first map data associated with the road object and ground truth data associated with the road object;
• generate the machine learning model by configuring the ground truth data and calculating first information scores for each of the first sensor features and the first map features by recursively splitting each of the first sensor features and the first map features, wherein the first information scores correspond to quality of the first sensor data and the first map data;
• and
• update a vehicle or user equipment, wherein the update includes, at least in part, the first information scores.