Probit ("probability unit") regression is a classical machine learning technique that can be used for binary classification -- predicting an outcome that can only be one of two discrete values. For ...
To recap, probit regression uses the phi () function which is an area under than Standard Normal distribution. To estimate phi () you can use a special erf () function, and to estimate erf () you can ...
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