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Evaluates the performance of a continuous response model using RMSE and MAE.
measure_cont(obs, pred)
A list containing:
rmse
Root Mean Squared Error.
mae
Mean Absolute Error.
A numeric vector of observed (true) values.
A numeric vector of predicted values.
obs <- c(3.2, 4.1, 5.6) pred <- c(3.0, 4.3, 5.5) measure_cont(obs, pred) # Returns: list(rmse = 0.1732051, mae = 0.1666667)
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