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bv_diff = dollar_aug_bv - dollar_raw_bv | |
bv_quotient = round(dollar_aug_bv/dollar_raw_bv) | |
str_to_print = f"The model trained on the raw dataset would save ${dollar_raw_bv} per claim, while the model trained on the augmented dataset would save ${dollar_aug_bv} per claim. This means that the augmented model would save the business ${bv_diff} per claim compared to the model without synthetic data, a {bv_quotient}x improvement." | |
print(str_to_print) |
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