Mixing
Is there any exact definition for “imbalanced datasets” or “imbalanced learning”?
$begingroup$
What is the exact definition for "imbalanced datasets" or "imbalanced learning"?
Some article states it as,
In such problems, almost all the instances are labeled as one class, while far fewer instances are labeled as the other class, usually the more important class.
While some other article, like Neelam Rout (2018) says,
The ratio between the majority and minority classes may be 100:1, 1000:1 and 10000:1; in short, the instances of majority class outnumber the amount of minority class instances.
I have a dataset with 85% labeled positive and the others negative. Is it an imbalanced dataset?
statistics data-analysis
asked Dec 30 '18 at 12:53
Xinyuan WeiXinyuan Wei
246
$endgroup$
add a comment |
$begingroup$
What is the exact definition for "imbalanced datasets" or "imbalanced learning"?
Some article states it as,
In such problems, almost all the instances are labeled as one class, while far fewer instances are labeled as the other class, usually the more important class.
While some other article, like Neelam Rout (2018) says,
The ratio between the majority and minority classes may be 100:1, 1000:1 and 10000:1; in short, the instances of majority class outnumber the amount of minority class instances.
I have a dataset with 85% labeled positive and the others negative. Is it an imbalanced dataset?
statistics data-analysis
asked Dec 30 '18 at 12:53
Xinyuan WeiXinyuan Wei
246
$endgroup$
$begingroup$
Despite the existence of this tags, this question is better suited for Data Science SE or Stats SE.
$endgroup$
– Git Gud
Dec 30 '18 at 13:01
$begingroup$
Anyway, I would consider a ratio of approximately 5.67 to 1 to be imbalanced. This is highly subjective, there isn't a well defined threshold. Plus, it depends on what you're doing. If you're just analyzing, classifying as imbalanced is just an adjective, it doesn't matter. If you're going to train on this dataset, then it depends on what technique you're using and what your goal is.
$endgroup$
– Git Gud
Dec 30 '18 at 13:08
$begingroup$
I meant "these tags" in this comment.
$endgroup$
– Git Gud
Dec 30 '18 at 13:10
add a comment |
$begingroup$
What is the exact definition for "imbalanced datasets" or "imbalanced learning"?
Some article states it as,
In such problems, almost all the instances are labeled as one class, while far fewer instances are labeled as the other class, usually the more important class.
While some other article, like Neelam Rout (2018) says,
The ratio between the majority and minority classes may be 100:1, 1000:1 and 10000:1; in short, the instances of majority class outnumber the amount of minority class instances.
I have a dataset with 85% labeled positive and the others negative. Is it an imbalanced dataset?
statistics data-analysis
asked Dec 30 '18 at 12:53
Xinyuan WeiXinyuan Wei
246
$endgroup$
What is the exact definition for "imbalanced datasets" or "imbalanced learning"?
Some article states it as,
In such problems, almost all the instances are labeled as one class, while far fewer instances are labeled as the other class, usually the more important class.
While some other article, like Neelam Rout (2018) says,
The ratio between the majority and minority classes may be 100:1, 1000:1 and 10000:1; in short, the instances of majority class outnumber the amount of minority class instances.
I have a dataset with 85% labeled positive and the others negative. Is it an imbalanced dataset?
statistics data-analysis
statistics data-analysis
asked Dec 30 '18 at 12:53
Xinyuan WeiXinyuan Wei
246
asked Dec 30 '18 at 12:53
Xinyuan WeiXinyuan Wei
246
edited Jan 2 at 1:18
Xinyuan Wei
asked Dec 30 '18 at 12:53
Xinyuan WeiXinyuan Wei
246
asked Dec 30 '18 at 12:53
Xinyuan WeiXinyuan Wei
246
asked Dec 30 '18 at 12:53
Xinyuan WeiXinyuan Wei
246
246
$begingroup$
Despite the existence of this tags, this question is better suited for Data Science SE or Stats SE.
$endgroup$
– Git Gud
Dec 30 '18 at 13:01
$begingroup$
Anyway, I would consider a ratio of approximately 5.67 to 1 to be imbalanced. This is highly subjective, there isn't a well defined threshold. Plus, it depends on what you're doing. If you're just analyzing, classifying as imbalanced is just an adjective, it doesn't matter. If you're going to train on this dataset, then it depends on what technique you're using and what your goal is.
$endgroup$
– Git Gud
Dec 30 '18 at 13:08
$begingroup$
I meant "these tags" in this comment.
$endgroup$
– Git Gud
Dec 30 '18 at 13:10
add a comment |
$begingroup$
Despite the existence of this tags, this question is better suited for Data Science SE or Stats SE.
$endgroup$
– Git Gud
Dec 30 '18 at 13:01
$begingroup$
Anyway, I would consider a ratio of approximately 5.67 to 1 to be imbalanced. This is highly subjective, there isn't a well defined threshold. Plus, it depends on what you're doing. If you're just analyzing, classifying as imbalanced is just an adjective, it doesn't matter. If you're going to train on this dataset, then it depends on what technique you're using and what your goal is.
$endgroup$
– Git Gud
Dec 30 '18 at 13:08
$begingroup$
I meant "these tags" in this comment.
$endgroup$
– Git Gud
Dec 30 '18 at 13:10
$begingroup$
Despite the existence of this tags, this question is better suited for Data Science SE or Stats SE.
$endgroup$
– Git Gud
Dec 30 '18 at 13:01
$begingroup$
Despite the existence of this tags, this question is better suited for Data Science SE or Stats SE.
$endgroup$
– Git Gud
Dec 30 '18 at 13:01
$begingroup$
Anyway, I would consider a ratio of approximately 5.67 to 1 to be imbalanced. This is highly subjective, there isn't a well defined threshold. Plus, it depends on what you're doing. If you're just analyzing, classifying as imbalanced is just an adjective, it doesn't matter. If you're going to train on this dataset, then it depends on what technique you're using and what your goal is.
$endgroup$
– Git Gud
Dec 30 '18 at 13:08
$begingroup$
Anyway, I would consider a ratio of approximately 5.67 to 1 to be imbalanced. This is highly subjective, there isn't a well defined threshold. Plus, it depends on what you're doing. If you're just analyzing, classifying as imbalanced is just an adjective, it doesn't matter. If you're going to train on this dataset, then it depends on what technique you're using and what your goal is.
$endgroup$
– Git Gud
Dec 30 '18 at 13:08
$begingroup$
I meant "these tags" in this comment.
$endgroup$
– Git Gud
Dec 30 '18 at 13:10
$begingroup$
I meant "these tags" in this comment.
$endgroup$
– Git Gud
Dec 30 '18 at 13:10
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: "69"
};
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: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
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
},
noCode: true, onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
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%2fmath.stackexchange.com%2fquestions%2f3056800%2fis-there-any-exact-definition-for-imbalanced-datasets-or-imbalanced-learning%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
Thanks for contributing an answer to Mathematics 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%2fmath.stackexchange.com%2fquestions%2f3056800%2fis-there-any-exact-definition-for-imbalanced-datasets-or-imbalanced-learning%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
$begingroup$
Despite the existence of this tags, this question is better suited for Data Science SE or Stats SE.
$endgroup$
– Git Gud
Dec 30 '18 at 13:01
$begingroup$
Anyway, I would consider a ratio of approximately 5.67 to 1 to be imbalanced. This is highly subjective, there isn't a well defined threshold. Plus, it depends on what you're doing. If you're just analyzing, classifying as imbalanced is just an adjective, it doesn't matter. If you're going to train on this dataset, then it depends on what technique you're using and what your goal is.
$endgroup$
– Git Gud
Dec 30 '18 at 13:08
$begingroup$
I meant "these tags" in this comment.
$endgroup$
– Git Gud
Dec 30 '18 at 13:10