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Truth Score depends on three metrics:
1) % of Audit Log Messages (40% of the score). This is (Audit Log Messages for a Dataset / Total Audit Log Messages). Programs reads are omitted to avoid redundancy.
2) % of Unique Programs Read (40% of the score). This is (Total Unique Programs reading from dataset / Total programs present)
3) Time Since Last Read (20% of the score, by rank of the most recent read among most recent reads for all datasets)
Sample Output:
Dataset | % of Audit Log Messages | % of unique programs | Time Since Last Read | Score |
---|
DS1 | 70 | 60 | 80s | 72 |
DS2 | 30 | 50 | 1000s | 42 |
Dataset | % of Audit Log Message | % of unique programs | Time Since Last Read | Score |
---|
DS1 | 25 | 30 | 10000s | 27 |
DS2 | 25 | 30 | 9000s | 32 |
DS3 | 25 | 30 | 800s | 37 |
DS4 | 25 | 30 | 70s | 42 |
Dataset | % of Audit Log Message | % of unique programs | Time Since Last Read | Score |
---|
DS1 | 65 | 80 | 10s | 78 |
DS2 | 25 | 40 | 20s | 41 |
DS3 | 10 | 40 | 40s | 25 |
DS4 | 5 | 10 | 30s | 16 |