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Hyundai Capital America

what is logistic regression? How to perform variable selection

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See answers for Capital One statistician questions

Anónimo en

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A Measurement of Variables

Missy en

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Logistic regression is a predictive analysis. To explain the relationship between the one dependent variable with another independent variable.

Kishore en

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Logistic regression is a form of predictive modeling where the variable you're predicting has a binary or yes/no answer. Variable selection can be exploratory or confirmatory. In confirmatory analysis, pre-planned models are created and compared for fit and provide relative significance to the model for each value. The best model is the one which balances prosody with explanatory power. In an exploratory analysis, starting from either a model containing all variables or no variables, perform a stepwise model creation to ensure you have good model fit and that the compared models are nested and therefore valid for comparison to one another. Methodology for selecting which variable to include or exclude is often implicit, but this is likely based on the significance (p-value) of each variable, and the correlation between that variable and the outcome variable.

William Lage en

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logistic regression is the problem of super wise machine learning from classification logistic regression is work on sigmoid function it will give values in between 0 and 1 then after use sigmoid curve it will give a values are mention below . if values are more than 0.5, it will give 1 if values are less than 0.5, it will give 0

what is logistic regression? How to perform variable selection en

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