How can I balance an independant variable for K-Nearest Neighbour model (or any regression model).
So I have dataset for electricity consumption of a city for a year which consists of 7 independant variables out of which the windspeed column has values ranging from 3 to 570 (units). I am getting an accuracy of only 3%, no matter which model I use.
Can anyone suggest how would I balance my dataset to predict electrcity consumption.
BegalBoi t1_ix40w8x wrote
Reply to [D] Simple Questions Thread by AutoModerator
How can I balance an independant variable for K-Nearest Neighbour model (or any regression model).
So I have dataset for electricity consumption of a city for a year which consists of 7 independant variables out of which the windspeed column has values ranging from 3 to 570 (units). I am getting an accuracy of only 3%, no matter which model I use.
Can anyone suggest how would I balance my dataset to predict electrcity consumption.