Metrics for Evaluating Performance of Logistic Regression
$begingroup$
I built a Logistic Regression model and I would like to evaluate the performance of the model. I would like to understand its evaluation metrics.
What do the metrics Sensitivity, Specificity, False Positives Rate, Precision, Recall, and Accuracy tell us about this model?
machine-learning logistic-regression machine-learning-model
New contributor
$endgroup$
add a comment |
$begingroup$
I built a Logistic Regression model and I would like to evaluate the performance of the model. I would like to understand its evaluation metrics.
What do the metrics Sensitivity, Specificity, False Positives Rate, Precision, Recall, and Accuracy tell us about this model?
machine-learning logistic-regression machine-learning-model
New contributor
$endgroup$
add a comment |
$begingroup$
I built a Logistic Regression model and I would like to evaluate the performance of the model. I would like to understand its evaluation metrics.
What do the metrics Sensitivity, Specificity, False Positives Rate, Precision, Recall, and Accuracy tell us about this model?
machine-learning logistic-regression machine-learning-model
New contributor
$endgroup$
I built a Logistic Regression model and I would like to evaluate the performance of the model. I would like to understand its evaluation metrics.
What do the metrics Sensitivity, Specificity, False Positives Rate, Precision, Recall, and Accuracy tell us about this model?
machine-learning logistic-regression machine-learning-model
machine-learning logistic-regression machine-learning-model
New contributor
New contributor
edited 2 mins ago
Ethan
475220
475220
New contributor
asked 1 hour ago
Srujan K.N.Srujan K.N.
11
11
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
});
}
});
Srujan K.N. 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%2f46748%2fmetrics-for-evaluating-performance-of-logistic-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
Srujan K.N. is a new contributor. Be nice, and check out our Code of Conduct.
Srujan K.N. is a new contributor. Be nice, and check out our Code of Conduct.
Srujan K.N. is a new contributor. Be nice, and check out our Code of Conduct.
Srujan K.N. 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%2f46748%2fmetrics-for-evaluating-performance-of-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