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Do I understand correctly that the value (model output) retrieving from evaluate_model() for the linear regression model is RMSE?

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neilfws
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tassaneel
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    Welcome to Stack Overflow. Please [make this question reproducible](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) by including sample data in plain text format, and the code that generated the output. As it stands we have no idea what you did or where the function `evaluate_model` came from. – neilfws Nov 03 '20 at 02:19

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No, the column output, model_output, is not the root mean square error (RMSE). It is the prediction value for your model.

So it appears that the evaluate_model() function is from the statisticalModeling package.

According to the documentation for this function, it "Evaluate a model for specified inputs" and (emphasis added below)

Find the model outputs for specified inputs. This is equivalent to the generic predict() function, except it will choose sensible values by default. This simplifies getting a quick look at model values.

In other words, this function, evaluate_model(), takes inputs and shows you the "prediction" of your input data using the model.

For your instance, evaluate_model() will take each row of your data and use the column/variable information (age, sex, coverage) for each row, and fits the data to estimate what the dependent variable would be based on this model.

Eric Leung
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