What is Logistic Regression?

logistic regression  Logistic regression is a simple and more efficient method for binary and linear classification problems It is a classification model, which is very easy to Park, MD 20742 ODDS AND ODDS RATIOS The concept necessary to understand log-linear models and logistic regression is the

Binomial Logistic Regression A binomial logistic regression is used when the outcome variable being predicted is dichotomous In linear regression the target is a continuous variable while in logistic regression, the target is a discrete variable

1 Data preprocessing · Remove outliers Outliers will skew your model to perform less well · Remove multicollinearity Logistic regression Abstract Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable The procedure is quite similar to multiple