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Adding RMSE - Root Mean Squared Error Loss function for ML Evaluation
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machine_learning/loss_functions.py

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@@ -668,7 +668,6 @@ def root_mean_squared_error(y_true, y_pred):
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RMSE = sqrt( (1/n) * Σ (y_true - y_pred) ^ 2)
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Args:
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y_pred: Predicted Value
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y_true: Actual Value

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