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meraldo-aliz/rmse.py

Created March 2, 2022 05:46
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rmse.py
from sklearn.metrics import mean_squared_error
RMSE = mean_squared_error(y_true = rfm_cal_holdout["n_transactions_holdout_real"],
y_pred = rfm_cal_holdout["n_transactions_holdout_pred"],
squared = False)
RMSE # = 1.3536793286521
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