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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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