Regression - Unbalanced Categorical Features
$begingroup$
Morning all.
I have a data set that has some unbalanced categorical features. I would like to build a regression model to predict a label using machine learning (ML).
My concern is:
- How to handle data imbalance in categorical variables, if required, to avoid any bias in my ML regression model?
Regards.
regression categorical-data unbalanced-classes
New contributor
$endgroup$
add a comment |
$begingroup$
Morning all.
I have a data set that has some unbalanced categorical features. I would like to build a regression model to predict a label using machine learning (ML).
My concern is:
- How to handle data imbalance in categorical variables, if required, to avoid any bias in my ML regression model?
Regards.
regression categorical-data unbalanced-classes
New contributor
$endgroup$
add a comment |
$begingroup$
Morning all.
I have a data set that has some unbalanced categorical features. I would like to build a regression model to predict a label using machine learning (ML).
My concern is:
- How to handle data imbalance in categorical variables, if required, to avoid any bias in my ML regression model?
Regards.
regression categorical-data unbalanced-classes
New contributor
$endgroup$
Morning all.
I have a data set that has some unbalanced categorical features. I would like to build a regression model to predict a label using machine learning (ML).
My concern is:
- How to handle data imbalance in categorical variables, if required, to avoid any bias in my ML regression model?
Regards.
regression categorical-data unbalanced-classes
regression categorical-data unbalanced-classes
New contributor
New contributor
New contributor
asked 2 mins ago
Abdoo DadaAbdoo Dada
1
1
New contributor
New contributor
add a comment |
add a comment |
0
active
oldest
votes
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
});
}
});
Abdoo Dada 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%2f44678%2fregression-unbalanced-categorical-features%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Abdoo Dada is a new contributor. Be nice, and check out our Code of Conduct.
Abdoo Dada is a new contributor. Be nice, and check out our Code of Conduct.
Abdoo Dada is a new contributor. Be nice, and check out our Code of Conduct.
Abdoo Dada 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%2f44678%2fregression-unbalanced-categorical-features%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