XGBoost regression
$begingroup$
I run XGBoost regression with tree as base learner. I have over 400 variables and more than 30000000 samples. I have generated most important features and was surprised to see that one feature is dominating more than the rest, it was surprising because this variable does not explain variability of the response as they are not connected, I am trying to predict the sold item quantities, I found the most important feature , which is dominating, is the product weight which is not related to the respons at all. What do you think is going on. I run R squared between observed and predicted values and the out out was close to 0.99.
I know R square is not accurate for non linear regression model but what could be the reason of this high value although I see only one variable dominating most important features
regression xgboost
New contributor
$endgroup$
add a comment |
$begingroup$
I run XGBoost regression with tree as base learner. I have over 400 variables and more than 30000000 samples. I have generated most important features and was surprised to see that one feature is dominating more than the rest, it was surprising because this variable does not explain variability of the response as they are not connected, I am trying to predict the sold item quantities, I found the most important feature , which is dominating, is the product weight which is not related to the respons at all. What do you think is going on. I run R squared between observed and predicted values and the out out was close to 0.99.
I know R square is not accurate for non linear regression model but what could be the reason of this high value although I see only one variable dominating most important features
regression xgboost
New contributor
$endgroup$
add a comment |
$begingroup$
I run XGBoost regression with tree as base learner. I have over 400 variables and more than 30000000 samples. I have generated most important features and was surprised to see that one feature is dominating more than the rest, it was surprising because this variable does not explain variability of the response as they are not connected, I am trying to predict the sold item quantities, I found the most important feature , which is dominating, is the product weight which is not related to the respons at all. What do you think is going on. I run R squared between observed and predicted values and the out out was close to 0.99.
I know R square is not accurate for non linear regression model but what could be the reason of this high value although I see only one variable dominating most important features
regression xgboost
New contributor
$endgroup$
I run XGBoost regression with tree as base learner. I have over 400 variables and more than 30000000 samples. I have generated most important features and was surprised to see that one feature is dominating more than the rest, it was surprising because this variable does not explain variability of the response as they are not connected, I am trying to predict the sold item quantities, I found the most important feature , which is dominating, is the product weight which is not related to the respons at all. What do you think is going on. I run R squared between observed and predicted values and the out out was close to 0.99.
I know R square is not accurate for non linear regression model but what could be the reason of this high value although I see only one variable dominating most important features
regression xgboost
regression xgboost
New contributor
New contributor
New contributor
asked 3 mins ago
GNJGNJ
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
});
}
});
GNJ 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%2f44309%2fxgboost-regression%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
GNJ is a new contributor. Be nice, and check out our Code of Conduct.
GNJ is a new contributor. Be nice, and check out our Code of Conduct.
GNJ is a new contributor. Be nice, and check out our Code of Conduct.
GNJ 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%2f44309%2fxgboost-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