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Opened 9 years ago

Closed 9 years ago

Last modified 9 years ago

#12152 closed enhancement (worksforme)

New checkbox: Select <90% entries

Reported by: Ryan J Ollos Owned by: Dirk Stöcker
Priority: normal Milestone:
Component: plugin/spamfilter Version:
Severity: normal Keywords:
Cc: Branch:
Release Notes:
API Changes:
Internal Changes:

Description

I'd find it useful to have a Select <90% entries checkbox on the Monitoring page. I'll provide a patch if you think it's a good idea and the change will be accepted.

Attachments (0)

Change History (8)

comment:1 by Dirk Stöcker, 9 years ago

You can already do so, even if it needs 3 clicks, but it is fast nevertheless. Click on "Select Spam entries" and than click on ">90%" twice.

comment:2 by Ryan J Ollos, 9 years ago

Resolution: worksforme
Status: newclosed

I see. The multiple clicks are not a problem. The biggest issue is that it may not be obvious how to accomplish this, but it worksforme.

comment:3 by Ryan J Ollos, 9 years ago

Milestone: plugin - spam-filter
Resolution: worksforme
Status: closedreopened

I think we should consdier adding a checkbox since it's not obvious how to select the < 90% and there's an obvious spot to place it that will likely otherwise go unused.

comment:4 by Dirk Stöcker, 9 years ago

Question is "Why do you need a <90%" at all? I never needed that. And also <90% is ambiguous: Does it mean spam only or spam and ham?

comment:5 by Ryan J Ollos, 9 years ago

SpamFilter#Bayes suggests Train every SPAM entry with a score below 90%. I select all the entries below 90% and then Delete Selected as Spam. The proposed change would be a red'ish entry below Select > 90% entries. I don't see a reason an equivalent green'ish entry would be needed.

comment:6 by Dirk Stöcker, 9 years ago

Simply use the first button which deletes any spam > 90%. That's the idea behind this button to get rid of unhelpful entries, so the remaining ones can be handled. Your approach to select the below 90% entries in the whole list means that a few trainable entries are hidden in a large set of non-useful stuff. This does not really allow proper checking which is important for good training.

  • First remove the unwanted entries
  • Train the remaining ones.

The first button is also a bit more clever than the JavaScript can be as it e.g. does not remove >90% when user was logged in or when result was considered HAM.

comment:7 by Dirk Stöcker, 9 years ago

Resolution: worksforme
Status: reopenedclosed

comment:8 by figaro, 9 years ago

Milestone: plugin - spam-filter

Removing from {35}

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