Systems and methods for improving the structural design of artificial intelligence systems through modeling and simulation techniques

A system comprising:

• memory hardware configured to store instructions;
• and
• processor hardware configured to execute the instructions, wherein the instructions include:
• loading a machine learning model,
• loading a training data set,
• loading baseline hyperparameters,
• configuring the machine learning model with the baseline hyperparameters,
• providing the training data set as inputs to the machine learning model configured with the baseline hyperparameters to determine baseline performance metrics,
• determining whether the baseline performance metrics are above a threshold,
• in response to determining that the baseline performance metrics are above the threshold, saving the baseline hyperparameters as optimal hyperparameters,
• configuring the machine learning model with the optimal hyperparameters,
• loading input variables,
• providing the input variables as inputs to the machine learning model configured with the optimal hyperparameters to generate output variables,
• saving the output variables to a database, and
• generating a graphical user interface, wherein the graphical user interface is configured to access the output variables from the database and display the output variables to a user.