Modify the function casl_utils_best_split so that false positives (accidentally labeling a true 0 as a 1) are considered twice as bad as false negatives. Does this change the optimal split in our...

Modify the function casl_utils_best_split so that false positives (accidentally labeling a true 0 as a 1) are considered twice as bad as false negatives. Does this change the optimal split in our example data?

Describe what might be some possible columns of the dataset X in a task trying to predict the sale price for a used car