I am interested in the "In-car music" publicly available dataset and tried using it to train the CARSKit algorithm.
The dataset is very sparse and I need a solution for this so that the algorithm can give accurate results.
I already came across the option of deleting corresponding columns/rows with sparse values but thats not possible since mostly all rows and columns have lot of sparse values.
Please provide a solution to the problem .
Thanks in advance for your help.
Hello,
I am interested in the "In-car music" publicly available dataset and tried using it to train the CARSKit algorithm. The dataset is very sparse and I need a solution for this so that the algorithm can give accurate results. I already came across the option of deleting corresponding columns/rows with sparse values but thats not possible since mostly all rows and columns have lot of sparse values. Please provide a solution to the problem . Thanks in advance for your help.
Regards, Madhuri