Enhanced predictive modeling using time-series training data

One or more computer-readable storage media encoded with instructions that, when executed by one or more computers, cause the one or more computers to perform operations comprising:

• obtaining a first prediction from a machine learning model trained to predict future events based on time-series data input;
• generating a set of one or more features of the first prediction, wherein the set of one or more features indicate at least one of (i) a type of an event or (ii) preceding historical events;
• determining that the set of one or more features of the first prediction satisfy one or more thresholds indicating an event included in the first prediction is atypical;
• comparing the set of one or more features of the first prediction to one or more other features representing historical events that are included in the time-series data input;
• identifying, using the comparison, a set of historical events from the historical events that are included in the time-series data input, wherein the identified set of historical events include features that satisfy a threshold level of similarity with the set of one or more features of the first prediction;
• and
• generating an adjusted first prediction using the identified set of historical events.

A system comprising:

• one or more computers and one or more storage devices on which are stored instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising:
• obtaining a first prediction from a machine learning model trained to predict future events based on time-series data input;
• generating a set of one or more features of the first prediction, wherein the set of one or more features indicate at least one of (i) a type of an event or (ii) preceding historical events;
• determining that the set of one or more features of the first prediction satisfy one or more thresholds indicating an event included in the first prediction is atypical;
• comparing the set of one or more features of the first prediction to one or more other features representing historical events that are included in the time-series data input;
• identifying, using the comparison, a set of historical events from the historical events that are included in the time-series data input, wherein the identified set of historical events include features that satisfy a threshold level of similarity with the set of one or more features of the first prediction;
• and
• generating an adjusted first prediction using the identified set of historical events.