I may have found a critical error in the "Classification Surrogate Tests.ipynb" notebook.
The following image shows the Strategy used to make predictions on the original training data df after checking the classification of proposed candidates.
Originally, the predicted values for f0 and f2 are stored in the prob column of f1.
Could this be hindering optimization? If you have any suggestions for improvement, please let me know.
I may have found a critical error in the "Classification Surrogate Tests.ipynb" notebook.
The following image shows the Strategy used to make predictions on the original training data df after checking the classification of proposed candidates.
Originally, the predicted values for f0 and f2 are stored in the prob column of f1.
Could this be hindering optimization? If you have any suggestions for improvement, please let me know.