rmse python

Posted by MDS

from sklearn.model_selection import cross_val_score

# Perform 5-fold cross-validation
scores = cross_val_score(model, df, y, cv=5, scoring='neg_mean_squared_error')

# Convert negative MSE to positive and calculate RMSE
rmse_scores = np.sqrt(-scores)

print(f"RMSE scores: {rmse_scores}")
print(f"Average RMSE: {np.mean(rmse_scores):.2f}")

MDS

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