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Readable 7fl UNCLES SIFIEDFIG fl/i PURDUE UNIV LAFAYETTE INC DEPT OF STATISTICS MINIMAL Street SELECTION WITH APPLICATIONS TO UNEQUAL VARIANCE ETC(U) N00014 75 C 0455 JA. 77 P L HEROES, S GUPTA It Mimeographs
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How to fill out minimax subset selection for

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How to fill out minimax subset selection for

01
Calculate the cost function for each subset of predictors.
02
Select the subset that minimizes the cost function.
03
Repeat the process for different subsets until the optimal subset is found.
04
Use the selected subset for training the model.

Who needs minimax subset selection for?

01
Researchers in statistics and machine learning who want to select a subset of predictors that minimizes the risk or cost associated with the model.
02
Individuals working on feature selection for their predictive modeling tasks.
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Minimax subset selection is a decision-making process used to select a subset of options that minimizes the possible maximum loss.
Typically, entities involved in decision-making that conforms to minimax principles may be required to file this, including businesses and researchers.
Fill out minimax subset selection by identifying the available options, calculating potential losses for each, and selecting the subset that minimizes the maximum loss.
The purpose is to ensure that decisions minimize the potential for the worst-case scenarios, thus improving overall outcomes.
Reported information typically includes the options considered, the maximum losses associated with each, and the rationale for the selected subset.
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