Skip to main content
Search type Search syntax
Tags [tag]
Exact "words here"
Author user:1234
user:me (yours)
Score score:3 (3+)
score:0 (none)
Answers answers:3 (3+)
answers:0 (none)
isaccepted:yes
hasaccepted:no
inquestion:1234
Views views:250
Code code:"if (foo != bar)"
Sections title:apples
body:"apples oranges"
URL url:"*.example.com"
Saves in:saves
Status closed:yes
duplicate:no
migrated:no
wiki:no
Types is:question
is:answer
Exclude -[tag]
-apples
For more details on advanced search visit our help page
Results tagged with
Search options not deleted user 137038

Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.

0 votes
Accepted

Best way to make an image classification model with dynamic image sizes

The solutions you suggest are valid except for the last one. Since you are using 2d CNN you cannot use 1d input. In fact, your model already has a Rescaling preprocessing layer that will normalize the …
Aray Karjauv's user avatar
1 vote
Accepted

How to use weights for each observation in a classifier

Resample the dataset: You can sample important observations more often which is very easy to implement without changing your classification model. …
Aray Karjauv's user avatar