Automated computer game application classification based on a mixed effects model

A method for providing game classification for a computer service platform, the method comprising:

• obtaining a training dataset that describes historical outcomes by historical players for each game of a plurality of games, wherein the plurality of games includes a first subset of games that are labelled as an absolute chance-based game and a second subset of games that are labelled as an absolute skill-based game;
• determining, from the training dataset, an outcome factor distribution for each game of the plurality of games, the outcome factor distribution for a given game including outcome factors based on variance values defined by a mixed effects model representative of the given game and determined from the outcome datasets of the given game;
• generating a first trained threshold from the outcome factor distributions of the first subset of games and a second trained threshold from the outcome factor distributions of the second subset of games, the first trained threshold being based on a first particular quantile of the outcome factor distributions for the first subset of games, and a second trained threshold being based on a second particular quantile of the outcome factor distributions for the second subset of games wherein the first particular quantile for generating the first trained threshold and the second particular quantile for generating the second trained threshold are predefined;
• and
• deploying a classification model that includes the first trained threshold and the second trained threshold, wherein the classification model is configured to evaluate a particular game with respect to the first trained threshold and the second trained threshold to classify the particular game with a particular game type.

A method of standardized game classification, comprising:

• generating a classification model that includes one or more trained thresholds that are set based on historical outcomes of a set of games that are labelled with known game types;
• store location-specific game operation information for a plurality of locations, the location-specific game operation information describing operation constraints for different game types;
• determining, via the classification model, a game type of a particular game based on outcome data of the particular game, wherein the game type is one of a plurality of game types that each represent a different degree of chance or skill incorporated by a given game;
• determining operation constraints associated with the determined game type based on location-specific game operation information for the determined game type;
• and
• in response to a query that indicates the particular game, transmitting the determined game type to a client device in combination with the operation constraints associated with the determined game type and specific to a location associated with the client device.