igorkf / genentech-404-challenge Goto Github PK

My solution is pretty simple:

1. put the data in the data folder
2. run solution.ipynb

The data for the competition can be found here.

This is a longitudinal data where each patient is observed for some (variable) time.

The idea is simple:

1. Sort the data for each patient in ascending mode (lowest months first)

2. For each variable impute data using (in this order):

   1. linear interpolation
   2. forward fill
   3. backward fill

3. For the remaining data* (where there are still NA), apply:

   1. Apply standardization
   2. iterative imputation with Huber regressor
   3. Inverse transform to get predictions ins original scale

4. Apply roundings and clipping

* There will be still NA after imputation because some patient has either all NA in a specific variable or only one row.