Clarify multinomial #7
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mnqu
reviewed
Apr 30, 2020
| - (*N_e*) binary array 0/1 for each encounter, where the target is 1 if Alice was infected by that Bob encounter and 0 if they are were not | ||
| - Binary variable 0/1 for the special "null" encounter, which indicates whether Alice has been infected by any of the *N_e* encounters; 0 if not, 1 if so | ||
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| * Regression of personal infectiousness: (14) array of floats of Alice's infectiousness for each of the past 14 days | ||
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| **Metrics:** | ||
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| * **P**: Precision is of the top 1% of highest-risk people, what % are correctly identified as being infected |
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From my understanding, "Precision is of the top 1% of highest-risk people identified by the ML model, what % are truly infected". I am not sure whether they have the same meaning. Similar for P-A and P-UA.
| * Regression of personal infectiousness: (14) array of floats of Alice's infectiousness for each of the past 14 days | ||
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| **Metrics:** | ||
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| * **P**: Precision is of the top 1% of highest-risk people, what % are correctly identified as being infected | ||
| * **P-U**: Precision-Untested is of the top 1% of highest-risk people, excluding those who have a positive test, what % are correctly identified as being infected | ||
| * **P-A**: Precision-Asymptomatic is of the top 1% of highest-risk people, excluding those who have a positive test and those who have symptoms, what % are correctly identified as being infected | ||
| * **P-UA**: Precision-Asymptomatic is of the top 1% of highest-risk people, excluding those who have a positive test and those who have symptoms, what % are correctly identified as being infected | ||
| * **R**: Recall is what % of those infected are correctly identified as being infected |
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Recall here is also recall at top 1%, i.e., "Recall is what % of those infected are identified as top 1% highest-risk people by the ML model". Similar for R-U and R-UA.
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