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We found that ZΔ G alone had moderate predictive power and CAI had substantial predictive power.
However, our data showed that the RF model had a moderate predictive power with an AUROC of 0.777.
Our study shows that moderate predictive power can be achieved by including 9 factors recorded using a combination of self-reported, biometric, and past health services utilization data.
The models for subtype H5N1 had moderate predictive power (R surveillance = 0.604, AUC surveillance = 0.918, R outbreak = 0.424, AUC outbreak = 0.848).
79– 81 It has been shown, however, that LASSO provides better prediction in high-dimensional orthogonal problems with few true predictors, while RR and elastic net can effectively handle many variables with moderate predictive power.
As a result, the cut-off score of the screening tool that gave moderate predictive power (i.e., 65%% sensitivity and 68%% specificity) was relatively high (i.e., ≥ 53 out of 69).
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It is a simple clinical model that has moderate predictive powers outcomes relevant to acute medical care.
19 Though overlap exists between these models, 20 to date, published scores based on these operational definitions demonstrate only poor to moderate predictive powers for adverse outcomes within the acute medical care setting.
They've still got the same weak-to-moderate predictive power — less than a student's high school grades.
Water quality variables demonstrated moderate levels of predictive power for biotic descriptors.
So, although the classification system of Sarnat [ 50] appears to be very useful for the prediction of the outcome of children with mild or severe NE, in case of moderate NE this qualitative system lacks predictive power.
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