i want some algorithm that can predict driver behaviour based on speed and angle of sterring every second of car ,so which model i use if i am having 1000 rows for speed and 1000 rows of angle with respect to each other . and i have to predict some final behaviour scores
Predicting driver behaviour speed and angle
@ashwnchoure assuming it to be a regression problem, you can start off by building a linear regression model on your dataset.
Check out this link to learn more about linear regression.
i already applied multilinear regression XGboost randomforest svr but with only one column as a speed
But now i wants to pass multicolumns to predict single value
You can always train your model on a dataframe consisting of multiple columns.
one column with speed having 1000 rows one column with angle 1000 rows and using this two columns (2000 rows ) at a time wants to predict one score that we calcluated.
@ashwnchoure concatenate your columns in the below manner to form a dataframe.
ya this is a complete trip of one driver for 1000seconds and having one score of a trip (say:2500)
similarly i am having 1000 different drivers data and i want machine learning to train this two columns at once to predict a certain score .