Machine learning system and methods for determining confidence levels of personal information findings

A computer-implemented method of finding and classifying personal information in a data source, the method comprising:

• receiving, by a computer, an identity data source comprising:
• a first attribute field associated with first attribute values;
• and
• a second attribute field associated with second attribute values;
• receiving, by the computer, a scanned data source comprising a first scanned field associated with first scanned values;
• determining, by the computer, a plurality of personal information findings comprising:
• a first set of personal information findings determined by comparing the first attribute values to the first scanned values;
• and
• a second set of personal information findings determined by comparing the second attribute values to the first scanned values;
• creating, by the computer, a plurality of personal information records from some or all of the plurality of personal information findings, the plurality of personal information records comprising:
• a first set of personal information records created from some or all of the first set of personal information findings;
• and
• a second set of personal information records created from some or all of the second set of personal information findings;
• calculating, by the computer, a first confidence level for the first scanned field and the first attribute field, said calculating based on a plurality of:
• a count of the first scanned values, a count of the first set of personal information findings, a count of the first set of personal information records, and a sum of the count of the first set of personal information records and a count of the second set of personal information records;
• calculating, by the computer, a second confidence level for the first scanned field and the second attribute field, said calculating based on a plurality of:
• the count of the first scanned values, a count of the second set of personal information findings, a count of the second set of personal information records, and the sum of the count of the first set of personal information records and the count of the second set of personal information records;
• upon determining that the first confidence level is greater than or equal to a minimum confidence threshold and that the second confidence level is less than the minimum confidence threshold, associating, by the computer, the first attribute field, but not the second attribute field, with the first scanned field in a report;
• and
• providing the report to a user device.