What is logistic regression

+1 vote

For a layman What is logistic regression?

Sep 7, 2018 in Data Analytics by Anmol
• 1,780 points
2,004 views

3 answers to this question.

0 votes
Logistic regression is the statistical technique to make a binary predictive model to generate predict a target variable which could be either 0 or 1.

Logistic regression is the the tweaked version of linear regression wherein at the output of linear regression a sigmoid function is applied.
answered Sep 7, 2018 by Abhi
• 3,720 points
0 votes
Logistic regression is the appropriate regression analysis to conduct when the dependent variable is dichotomous (binary).  Like all regression analyses, the logistic regression is a predictive analysis.  Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.

Sometimes logistic regressions are difficult to interpret; the Intellectus Statistics tool easily allows you to conduct the analysis, then in plain English interprets the output.
answered Sep 11, 2018 by zombie
• 3,790 points
0 votes
Logistic regression is analysis to conduct when the dependent variable is dichotomous (binary).  Like all regression analyses, the logistic regression is a predictive analysis.  Logistic regression is used to describe data and to explain the relationship between one dependent binary variable and one or more nominal, ordinal, interval or ratio-level independent variables.
answered Aug 7, 2019 by anonymous

Related Questions In Data Analytics

0 votes
2 answers

When scoring a logistic regression model , is having the predicted variable in test dataset mandatory ?

Answer to your follow up question: We can ...READ MORE

answered Oct 17, 2018 in Data Analytics by Anmol
• 1,780 points
1,338 views
0 votes
1 answer
0 votes
1 answer

What is the standard naming convention for the variables in R?

Use of period separator e.g. product.prices <- c(12.01, ...READ MORE

answered Apr 25, 2018 in Data Analytics by shams
• 3,670 points
657 views
0 votes
1 answer

What is the Difference in Size and Count in pandas (python)?

The major difference is "size" includes NaN values, ...READ MORE

answered Apr 30, 2018 in Data Analytics by DeepCoder786
• 1,720 points

edited Jun 8, 2020 by Gitika 2,868 views
0 votes
2 answers

What is difference between Distributed search head and Search head cluster?

 A distributed environment describes the separation of ...READ MORE

answered Dec 4, 2018 in Data Analytics by Ali
• 11,360 points
2,478 views
0 votes
2 answers

"Train" and "Test" sets in Data Science

Normally to perform supervised learning you need ...READ MORE

answered Aug 3, 2018 in Data Analytics by Abhi
• 3,720 points
1,332 views
0 votes
2 answers

Installing MXNet for R in Windows System

You can install it for python in ...READ MORE

answered Dec 4, 2018 in Data Analytics by Kalgi
• 52,350 points
2,433 views
+2 votes
3 answers

Problem with installation of Wordcloud in anaconda

Using Anaconda Python 3.6 version For Windows ...READ MORE

answered Aug 7, 2018 in Data Analytics by Priyaj
• 58,020 points
18,698 views
0 votes
3 answers

What is Linear Regression?

linear regression is useful for finding relationship ...READ MORE

answered Aug 7, 2019 in Data Analytics by nikita
1,562 views
+1 vote
2 answers

What is the difference between correlation and covariance?

Correlation and Co-variance both are used as ...READ MORE

answered Jul 24, 2018 in Data Analytics by Abhi
• 3,720 points
4,082 views
webinar REGISTER FOR FREE WEBINAR X
REGISTER NOW
webinar_success Thank you for registering Join Edureka Meetup community for 100+ Free Webinars each month JOIN MEETUP GROUP