Ok thanks.
In that case, yes I want to improve the model performance. I’ve tried doing as you suggested and changed the model hyperparameters, using only the first 10 rows of my dataset, etc. The graph of the predicted value is always a horizontal line.
I also noticed that the “true” and predicted values are always between 0 and 1. Has the scaling actually been reversed?
But since I’ll eventually be working with a bigger dataset (potentially thousands of rows), I’ll have to improve the model performance by tuning the hyperparameters. If I use RayTune and/or Ax, what would be the best and simplest way to modify the code?