Aggregates

[VHKA1729]

Possible ways we can aggregate and reduce dimensionality:

1. Mean / Median over an instance for a user for each sensor after grouping by response (0/1)
2. Mean / Median for a user for each time-interval after grouping by response (0/1)

[vntkumar8]

Essentially, the classifier is giving 50% right? Best, Vineet.

…

On Thu, Jun 18, 2020 at 12:38 AM Vaibhav HK Anand ***@***.***> wrote: Possible ways we can aggregate and reduce dimensionality: 1. Mean / Median over an instance for a user for each sensor after grouping by response (0/1) 2. Mean / Median for a user for each time-interval after grouping by response (0/1) — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#1>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AB3TMUMESSUJBJLLIRFWZFDRXEICTANCNFSM4OA4KWSQ> .

[VHKA1729]

Yes

[VHKA1729]

If you notice the graphs, almost all users who had a higher temperature initially went on to report a value of 1.