Systems, apparatus, and methods of programmatically determining unique contacts based on crowdsourced error correction

A method for machine-implemented binary classification, comprising, by circuitry of an apparatus:

• determining a programmatic match result indicating whether first merchant data is a match with second merchant data by applying a match score algorithm to the first merchant data and second merchant data, the match score algorithm including a match score threshold;
• in response to determining that the first merchant data is a match with the second merchant data:
• determining a precision error score indicating whether the programmatic match result includes a precision error;
• in response to determining that the precision error score indicates the programmatic match result includes a precision error, determining a user match result based on received user input;
• determining a second programmatic match result indicating whether third merchant data is a match with fourth merchant data by applying the match score algorithm to the third merchant data and fourth merchant data;
• in response to determining that the third merchant data fails to be a match with the fourth merchant data:
• determining a recall error score indicating whether the second programmatic match result includes a recall error;
• in response to determining that the precision error score indicates the second programmatic match result includes a recall error, determining a second user match result based on received second user input;
• determining a precision error rate based at least in part on the programmatic match result and the user match result;
• determining a recall error rate based at least in part on the second programmatic match result and the second user match result;
• determining an estimated precision/recall error ratio based on the precision error rate and the recall error rate;
• determining an expected precision/recall error ratio;
• determining an updated match score threshold such that the estimated precision/recall error ratio matches the expected precision/recall error ratio;
• and
• adjusting the match score threshold of the match algorithm to the updated match score threshold, thereby improving accuracy of machine-implemented binary classification.