Third-party enabled interference classification platform

A system, comprising:

• a processor;
• and
• a memory having instructions stored thereon which, when executed on the processor, performs operations comprising:
• receiving data describing radio frequency characteristics of a wireless network transmission environment;
• presenting the data for display on a graphical user interface (GUI) associated with a network device in the wireless network;
• receiving input from the GUI identifying one or more portions of the data;
• and
• training a machine learning (ML) model to classify an interferer in the wireless network transmission environment based on the identified one or more portions of the data.

A non-transitory computer-readable medium having instructions stored thereon which, when executed by a processor, performs operations comprising:

• receiving data describing radio frequency characteristics of a wireless network transmission environment;
• presenting the data for display on a graphical user interface (GUI) associated with a network device in the wireless network;
• receiving input from the GUI identifying one or more portions of the data;
• and
• training a machine learning (ML) model to classify an interferer in the wireless network transmission environment based on the identified one or more portions of the data.