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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).
Because Netflix actually had those later ratings, it could discern what a "perfect" prediction would look like.
Perfect prediction occurs in regression models for categorical outcomes.
A value of 1 for EF indicates perfect prediction.
A perfect prediction would list all "1s" before "0s".
Handling problems of perfect prediction: Checking the model is a crucial step in the process of detecting perfect prediction.
MCC values range from +1 (perfect prediction), over 0 (random prediction) to −1 (inverse prediction).
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