Currently there is no implementation for the automatic removal of Marth players browsing the website. I believe this to be an important issue for the security and integrity of the site. Simple integration with TensorFlow or some other Python based machine learning library should produce instant results due to the repeatability that is natural to Marth players.
I recommend tracking the users click intensity, and mouse speed to develop an MPPI (Marth Player Probability Index) fitness evaluation of each user on the website. This should be directly correlated to the users aggressiveness of which any players with a high MPPI will have an aggressiveness rating of 0.
Tracking the frequency that the player uses the dashback button as pictured here will also provide valuable information for determining the user's MPPI.
Currently there is no implementation for the automatic removal of Marth players browsing the website. I believe this to be an important issue for the security and integrity of the site. Simple integration with
TensorFlowor some other Python based machine learning library should produce instant results due to the repeatability that is natural to Marth players.I recommend tracking the users click intensity, and mouse speed to develop an
MPPI(Marth Player Probability Index) fitness evaluation of each user on the website. This should be directly correlated to the users aggressiveness of which any players with a highMPPIwill have an aggressiveness rating of 0.Tracking the frequency that the player uses the
dashbackbutton as pictured here will also provide valuable information for determining the user'sMPPI.