I'm looking for a conditional command that will regress first 90% of a dataset. Then, the later 10% will be used to predict the dependent variable.
"Using the first 90% data (roughly 135k data), build up a credit-risk LPM model. Once the model is estimated, interpret the model. Then using the model, predict the default possibility of the rest 10% data. Comment on your accuracy level." - Professor
"Using the first 90% data (roughly 135k data), build up a credit-risk LPM model. Once the model is estimated, interpret the model. Then using the model, predict the default possibility of the rest 10% data. Comment on your accuracy level." - Professor
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