Systems and methods for using machine learning to generate precision predictions of readiness

A system comprising:

• one or more computers;
• and
• one or more computer-readable media storing instructions that, when executed, cause the one or more computers to perform operations comprising:
• training, by the one or more computers, one or more machine learning models based on collected data indicating (i) activities performed by each of multiple subjects over time and (ii) performance results for a particular activity that the multiple subjects achieved, the one or more machine learning models being trained to be able to predict readiness of subjects to perform the particular activity and achieve a predetermined performance result for the particular activity based at least in part on prior activities performed by the subjects;
• accessing, by the one or more computers, a database to obtain status data that indicates activities performed by a subject, the status data comprising data provided from by an electronic device to the one or more computers over a communication network;
• deriving, by the one or more computers, a set of feature scores from the status data for the subject, the set of feature scores including values indicative of activities performed by the subject;
• providing, by the one or more computers, the set of feature scores to the one or more machine learning models that have been trained to predict readiness of subjects to perform the particular activity and achieve the predetermined performance result for the particular activity;
• generating, by the one or more computers and based on processing performed using the one or more machine learning models and the set of feature scores, a prediction indicating at least one of (i) a predicted time that the subject will acquire an ability to perform the particular activity and achieve the predetermined performance result or (ii) whether the subject will acquire an ability to perform the particular activity and achieve the predetermined performance result;
• and
• based on the prediction, providing, by the one or more computers, output data that is configured to perform at least one of altering a user interface of a device or altering interaction of a device with the subject.

One or more non-transitory computer-readable media storing instructions that are operable, when executed by one or more computers, to cause the one or more computers to perform operations comprising:

• training, by the one or more computers, one or more machine learning models based on collected data indicating (i) activities performed by each of multiple subjects over time and (ii) performance results for a particular activity that the multiple subjects achieved, the one or more machine learning models being trained to be able to predict readiness of subjects to perform the particular activity and achieve a predetermined performance result for the particular activity based at least in part on prior activities performed by the subjects;
• accessing, by the one or more computers, a database to obtain status data that indicates activities performed by a subject, the status data comprising data provided from by an electronic device to the one or more computers over a communication network;
• deriving, by the one or more computers, a set of feature scores from the status data for the subject, the set of feature scores including values indicative of activities performed by the subject;
• providing, by the one or more computers, the set of feature scores to the one or more machine learning models that have been trained to predict readiness of subjects to perform the particular activity and achieve the predetermined performance result for the particular activity;
• generating, by the one or more computers and based on processing performed using the one or more machine learning models and the set of feature scores, a prediction indicating at least one of (i) a predicted time that the subject will acquire an ability to perform the particular activity and achieve the predetermined performance result or (ii) whether the subject will acquire an ability to perform the particular activity and achieve the predetermined performance result;
• and
• based on the prediction, providing, by the one or more computers, output data that is configured to perform at least one of altering a user interface of a device or altering interaction of a device with the subject.