You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hello everyone
I have conducted a series of tests of a simple exercise conducted by patients, where i have loads of data. Some of this data is from an accelerometer strapped to the thigh. The data is labeled true or false indicating if the exercise was conducted correct along with the basic data x, y, z coordinates, timestamps and patient heights, all tests are 1 min. long. Now i want to see if i can train a scikit model to determine if future exercises are conducted correctly. I have a good understanding of programming, but need help to determine what kind of model / part of scikit to use to achieve the best possible result. (dataset is 67 patients each with at least 1 false and true test)
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
Hello everyone
I have conducted a series of tests of a simple exercise conducted by patients, where i have loads of data. Some of this data is from an accelerometer strapped to the thigh. The data is labeled true or false indicating if the exercise was conducted correct along with the basic data x, y, z coordinates, timestamps and patient heights, all tests are 1 min. long. Now i want to see if i can train a scikit model to determine if future exercises are conducted correctly. I have a good understanding of programming, but need help to determine what kind of model / part of scikit to use to achieve the best possible result. (dataset is 67 patients each with at least 1 false and true test)
Beta Was this translation helpful? Give feedback.
All reactions