Apparatus and methods for determining a probability datum

A method for determining a probability datum, the method comprising:

• receiving, by a computing device, a first datum from a user device, wherein the first datum describes a certainty indicator;
• receiving, by the computing device, a second datum from a database connected to the computing device, wherein the second datum describes an uncertainty indicator;
• classifying, by the computing device, the first datum and the second datum to at least a label of a plurality of labels, each label identified by a label value, wherein classifying comprises:
• generating a gap datum as a function of the first datum and the second datum;
• and
• categorizing the first datum with the label based on the generated gap datum and the label value of each label;
• determining, by the computing device, the probability datum of the first datum matching the second datum per label based on the generated gap datum, wherein at least determining the probability datum further comprises:
• using each label to select a respective probability generation model configured to determine the probability datum of the first datum matching the second datum per label based on the generated gap datum, wherein selecting each probability generation model comprises generating the probability generation model by:
• receiving training data, wherein the received training data correlates a plurality of past gap data to a plurality of label data;
• and
• training, iteratively, the probability generation model using the received training data, wherein training the probability generation model includes retraining the probability generation model with feedback from previous iterations of the probability generation model;
• and
• generating, by the trained probability generation model an estimated probability of the first datum matching the second datum per label based on the generated gap datum;
• and
• generating, by the computing device, an interface query data structure including an input field, wherein the generated interface query data structure configures a remote display device to:
• display the input field to the user device;
• receive at least a user-input datum into the input field, wherein the received user-input datum describes data for updating the first datum;
• running the probability generation model with the updated first datum;
• and
• display the determined probability datum from the probability generation model including displaying the user-input datum and a strategy recommendation generated from a machine learning model using the user-input datum comprising data related to performance optimization as a function on the updated first datum and a threshold datum describing an objective of the performance optimization.