search

VHKA1729 / cognitive-load

Cognitive load competition
GNU General Public License v3.0
0 stars 0 forks source link

Aggregates #1

Open VHKA1729 opened 4 years ago

VHKA1729 commented 4 years ago

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 commented 4 years ago

Essentially, the classifier is giving 50% right?

Best, Vineet.

On Thu, Jun 18, 2020 at 12:38 AM Vaibhav HK Anand notifications@github.com 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 https://github.com/VHKA1729/cognitive-load/issues/1, or unsubscribe https://github.com/notifications/unsubscribe-auth/AB3TMUMESSUJBJLLIRFWZFDRXEICTANCNFSM4OA4KWSQ .

VHKA1729 commented 4 years ago

Yes

VHKA1729 commented 4 years ago

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