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Why does Auto Model only use a portion of the available cases?
When I do auto model with a set of data, I am looking for a binary classification, and it shows me the accuracy each classification method got when trying to optimize the input parameters. The problem is that the numbers in the table don't add up to the actual number of possible cases I entered into the software. The table below shows 45 cases, but it is for a data set with approximately 224 entries, so there could potentially be a lot more model evaluations in this table to see just how robust it is when taking all of the data into account, but it only seems to have used about 20% of the available cases. Why is this, and is there anything I can do to change it?
(Table not working in this format, but it basically said it predicted 38 cases for X and got all of them right, and 7 for Y and got all of them right.)