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Refers generally to statistical procedures that utilize the logistic function, most commonly various forms of logistic regression

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Here is the answer from Wikipedia. Suppose that $f(x, y)$ is a differentiable real function of two variables whose second partial derivatives exist. The Hessian matrix $H$ of $f$ is the 2 × 2 matrix o …
answered Jul 15 '16 by Gaurav Singhal
3
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I am trying to build a logistic regression model. I have some categorical variables for which I have created dummy variables (eg. Department). I also have some numeric variables like Age and Tenure … . My question is which of the approach should I use- Should I use a combination of dummy variables and numeric variables as an input to my logistic model. Or, should I create categories of numeric …
asked Jul 15 '15 by Gaurav Singhal
3
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I am trying to create a logistic regression model and a random forest model on the same data to predict probability of default. For the logistic regression model, I have created some dummy variables … from categorical variables. Finally, for the input of logistic regression, I have 9 dummy variables and 2 numeric variables (age and level, age takes values from 18 to 60, level from 4 to 10). I want …
asked Jul 21 '15 by Gaurav Singhal