Distribution of error values in linear regression vs logistic regression The 2019 Stack Overflow Developer Survey Results Are InWhen to use linear or logistic regression?features' range in logistic regressionWhy logistic regression example code does not port to linear regression example?Why for logistic regression the error is given by [y ln(sigma(x)) + (1 − y) ln(1 − sigma(x)]When to use Linear Discriminant Analysis or Logistic RegressionGradient Descent in logistic regressionWhat are the differences between logistic and linear regression?Why is the logistic regression decision boundary linear in X?Linear Regression Errorhomogeneity of variance in logistic regression
FPGA - DIY Programming
Where to refill my bottle in India?
Right tool to dig six foot holes?
Multiply Two Integer Polynomials
What is the accessibility of a package's `Private` context variables?
How to type this arrow in math mode?
Identify boardgame from Big movie
Is a "Democratic" Oligarchy-Style System Possible?
What is the meaning of the verb "bear" in this context?
One word riddle: Vowel in the middle
Why was M87 targetted for the Event Horizon Telescope instead of Sagittarius A*?
How to deal with fear of taking dependencies
How come people say “Would of”?
Apparent duplicates between Haynes service instructions and MOT
How to answer pointed "are you quitting" questioning when I don't want them to suspect
How to notate time signature switching consistently every measure
Why did Acorn's A3000 have red function keys?
If I score a critical hit on an 18 or higher, what are my chances of getting a critical hit if I roll 3d20?
What is the closest word meaning "respect for time / mindful"
What to do when moving next to a bird sanctuary with a loosely-domesticated cat?
Lightning Grid - Columns and Rows?
Do these rules for Critical Successes and Critical Failures seem Fair?
Are there any other methods to apply to solving simultaneous equations?
Origin of "cooter" meaning "vagina"
Distribution of error values in linear regression vs logistic regression
The 2019 Stack Overflow Developer Survey Results Are InWhen to use linear or logistic regression?features' range in logistic regressionWhy logistic regression example code does not port to linear regression example?Why for logistic regression the error is given by [y ln(sigma(x)) + (1 − y) ln(1 − sigma(x)]When to use Linear Discriminant Analysis or Logistic RegressionGradient Descent in logistic regressionWhat are the differences between logistic and linear regression?Why is the logistic regression decision boundary linear in X?Linear Regression Errorhomogeneity of variance in logistic regression
$begingroup$
Why do error values in linear regression have to be normally distributed and why not in logistic regression?
machine-learning linear-regression logistic-regression distribution
New contributor
$endgroup$
add a comment |
$begingroup$
Why do error values in linear regression have to be normally distributed and why not in logistic regression?
machine-learning linear-regression logistic-regression distribution
New contributor
$endgroup$
add a comment |
$begingroup$
Why do error values in linear regression have to be normally distributed and why not in logistic regression?
machine-learning linear-regression logistic-regression distribution
New contributor
$endgroup$
Why do error values in linear regression have to be normally distributed and why not in logistic regression?
machine-learning linear-regression logistic-regression distribution
machine-learning linear-regression logistic-regression distribution
New contributor
New contributor
edited 5 hours ago
oW_♦
3,306933
3,306933
New contributor
asked 5 hours ago
Kartik SinghKartik Singh
1
1
New contributor
New contributor
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
Lets clarify with a simpler question
Why points on a circle must be equally distanced from center, but
not points on a square?
Because of how circle and square are "defined". The same goes for linear and logistic regression, we cannot pose a "why?" question when errors are "defined" in a certain way (or a better word here "assumed"). We may design a new version of linear regression by replacing Normal distribution with some other distribution, and then proceed to derive a formula or algorithm for estimating the parameters. Then use it in a real-world scenario to see how it works, and so on.
Also here is a list of good posts on stats.stackexchange.com related to characteristics of those errors:
Error distribution for linear and logistic regression,
Logistic Regression - Error Term and its Distribution.
$endgroup$
add a comment |
Your Answer
StackExchange.ifUsing("editor", function ()
return StackExchange.using("mathjaxEditing", function ()
StackExchange.MarkdownEditor.creationCallbacks.add(function (editor, postfix)
StackExchange.mathjaxEditing.prepareWmdForMathJax(editor, postfix, [["$", "$"], ["\\(","\\)"]]);
);
);
, "mathjax-editing");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "557"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: false,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: null,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Kartik Singh is a new contributor. Be nice, and check out our Code of Conduct.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f49076%2fdistribution-of-error-values-in-linear-regression-vs-logistic-regression%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
Lets clarify with a simpler question
Why points on a circle must be equally distanced from center, but
not points on a square?
Because of how circle and square are "defined". The same goes for linear and logistic regression, we cannot pose a "why?" question when errors are "defined" in a certain way (or a better word here "assumed"). We may design a new version of linear regression by replacing Normal distribution with some other distribution, and then proceed to derive a formula or algorithm for estimating the parameters. Then use it in a real-world scenario to see how it works, and so on.
Also here is a list of good posts on stats.stackexchange.com related to characteristics of those errors:
Error distribution for linear and logistic regression,
Logistic Regression - Error Term and its Distribution.
$endgroup$
add a comment |
$begingroup$
Lets clarify with a simpler question
Why points on a circle must be equally distanced from center, but
not points on a square?
Because of how circle and square are "defined". The same goes for linear and logistic regression, we cannot pose a "why?" question when errors are "defined" in a certain way (or a better word here "assumed"). We may design a new version of linear regression by replacing Normal distribution with some other distribution, and then proceed to derive a formula or algorithm for estimating the parameters. Then use it in a real-world scenario to see how it works, and so on.
Also here is a list of good posts on stats.stackexchange.com related to characteristics of those errors:
Error distribution for linear and logistic regression,
Logistic Regression - Error Term and its Distribution.
$endgroup$
add a comment |
$begingroup$
Lets clarify with a simpler question
Why points on a circle must be equally distanced from center, but
not points on a square?
Because of how circle and square are "defined". The same goes for linear and logistic regression, we cannot pose a "why?" question when errors are "defined" in a certain way (or a better word here "assumed"). We may design a new version of linear regression by replacing Normal distribution with some other distribution, and then proceed to derive a formula or algorithm for estimating the parameters. Then use it in a real-world scenario to see how it works, and so on.
Also here is a list of good posts on stats.stackexchange.com related to characteristics of those errors:
Error distribution for linear and logistic regression,
Logistic Regression - Error Term and its Distribution.
$endgroup$
Lets clarify with a simpler question
Why points on a circle must be equally distanced from center, but
not points on a square?
Because of how circle and square are "defined". The same goes for linear and logistic regression, we cannot pose a "why?" question when errors are "defined" in a certain way (or a better word here "assumed"). We may design a new version of linear regression by replacing Normal distribution with some other distribution, and then proceed to derive a formula or algorithm for estimating the parameters. Then use it in a real-world scenario to see how it works, and so on.
Also here is a list of good posts on stats.stackexchange.com related to characteristics of those errors:
Error distribution for linear and logistic regression,
Logistic Regression - Error Term and its Distribution.
answered 4 hours ago
EsmailianEsmailian
2,966320
2,966320
add a comment |
add a comment |
Kartik Singh is a new contributor. Be nice, and check out our Code of Conduct.
Kartik Singh is a new contributor. Be nice, and check out our Code of Conduct.
Kartik Singh is a new contributor. Be nice, and check out our Code of Conduct.
Kartik Singh is a new contributor. Be nice, and check out our Code of Conduct.
Thanks for contributing an answer to Data Science Stack Exchange!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
Use MathJax to format equations. MathJax reference.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fdatascience.stackexchange.com%2fquestions%2f49076%2fdistribution-of-error-values-in-linear-regression-vs-logistic-regression%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown