It seems that your data has some missing values. Have you already tried the Missing Value node? With it, you can correct or remove the missing values. By doing it before the model, you will not get the error message.
That is true - but in this case this will happen because you are selecting to perform this operation to all columns that are number. In case you want to remove rows based on missing values in only one column, you can go to the tab “column settings” and pick a column, like in this example:
So, I am not sure if you can skip missing values. I think you can deal with them - being it removing the values or replacing them according to a certain rule. For instance, as you did before, you can replace it for a value you set, you can replace it by the average value of your data, and so on and so on.
So in the end your strategy to deal with missing values depends on your data and your use case.