I have deleted all my files, thank you!

I can now log in!
Thanks!

Great!
Yes I think so. Let's try

In T187299#5007760, @Gilles wrote:

As a result of the oversampling, we are showing the survey to 10x anonymous users and the same amount of logged-in users as before. We are only getting 3x the responses (and that's true for both eswiki and ruwiki). This shows that there are diminishing returns to displaying the survey more.

As a result, at the current rate we are collecting around 17k non-neutral survey responses per day across all surveyed wikis, which works out to 510k per month, 6+ million per year:

0: jdbc:hive2://an-coord1001.eqiad.wmnet:1000> SELECT COUNT(*) FROM event.quicksurveysresponses WHERE year = 2019 AND month = 3 AND day = 6 AND event.surveyResponseValue IN ('ext-quicksurveys-example-internal-survey-answer-positive', 'ext-quicksurveys-example-internal-survey-answer-negative');
17041

@Fsalutari do you think that will be a sufficient amount to attempt deep learning?

I maybe managed to replicate your results (If the query I made to the dB was correct), but these one, in my case, refer only to one fold, which appears to be a "lucky one", since when I perform a 10-fold validation there is a significant drop in the performances, specially for the recall of (-1), with respect to these:

Hi Gilles, nice results!
Unluckily I am not able to replicate them and I am still stuck to 0.6ish of recall for negative replies. Can you please post the query you are using to collect the data and the information referred to the qsi.event.performanceNow to filter out the late surveys?

HI Gilles, we are aware of that, but there's a class imbalance problem. We can discuss it next monday.

Dear all,