Method for artificial intelligence (ai) model selection

A computational system comprising one or more processors, one or more memories, and a communications interface, wherein the one or more memories store instructions for configuring the one or more processors to generate an Artificial Intelligence (AI) model by:

• training a plurality of Artificial Intelligence (AI) models using a common validation dataset over a plurality of epochs, wherein during training of each model, at least one confidence metric is calculated at one or more epochs, and, for each model, the best confidence metric value over the plurality of epochs, and the associated epoch number at the best confidence metric is stored;
• generating an AI model comprising:
• selecting at least one of the plurality of trained AI models based on the stored best confidence metric;
• calculating a confidence metric for the selected at least one trained AI model applied to a blind test set;
• and
• deploying the AI model if the best confidence metric exceeds an acceptance threshold.

A computational system comprising one or more processors, one or more memories, and a communications interface, wherein the one or more memories are configured to:

• store a final trained AI model, wherein the trained AI model is generated by a computational system configured to:
• train a plurality of Artificial Intelligence (AI) models using a common validation dataset over a plurality of epochs, wherein during training of each model, at least one confidence metric is calculated at one or more epochs, and, for each model, the best confidence metric value over the plurality of epochs, and the associated epoch number at the best confidence metric is stored;
• generate a final trained AI model comprising:
• selecting at least one of the plurality of trained AI models based on the stored best confidence metric;
• calculating a confidence metric for the selected at least one trained AI model applied to a blind test set;
• and
• store the final trained AI model if the best confidence metric exceeds an acceptance threshold;
• and
• and the one or more processors are further configured to receive input data via the communications interface, process the input data using the stored AI model to generate a model result, and the communications interface is configured to send the model result to a user interface or data storage device.