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In this setup, the predictive model provides perfect predictions for patient's future states because predictions and future observations are the same at every time point.
Similarly, RN=0 indicates no predictive ability and RN=1 indicates perfect predictions.
The predictive performance equals 1 for perfect predictions and is close to zero for poor predictions.
Values of AUC range from 0.5 for models with no predictive ability to 1.0 for models giving perfect predictions and, according to a given classification [51], AUC values >0.9 describe 'very good', >0.8 'good' and >0.7 'useable' discrimination ability.
It is obvious that S B has a minimum value of 'zero' for perfect predictions.
Hence, precautionary measures will minimize the adverse impacts of those climate related hazards once the perfect predictions were stated.
Similar(38)
If perfect prediction is detected, the perfectly predicting covariate and the perfectly predicted observations are dropped from the analysis.
The C-index varies between 0.5 (no predictive power) and 1 (perfect prediction).
Although perfect prediction would be ideal, reasonably high predictive accuracy is a realistic goal.
The C statistic reports values from 0.5 (indicating no predictive power) to 1.0 (indicating perfect prediction).
The c-statistic values range from 0.5 (no greater predictive power than chance) to 1.0 (perfect prediction).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com