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General Discussion / Re: Parameter Selection and Cross-Validation
« on: August 02, 2023, 16:49:55 »
Hello Holly,
We do not have a tutorial showing the process for performing feature selection for a Bayesian network.
If we assume that you are considering a classification problem, then one approach is a wrapper search. Start with a model containing only the target variable and iteratively adding the feature which improves the score the most. Stop when there is no further improvement.
You can split the data into train, validate and test sets to measure the performance.
Best regards
Anders
We do not have a tutorial showing the process for performing feature selection for a Bayesian network.
If we assume that you are considering a classification problem, then one approach is a wrapper search. Start with a model containing only the target variable and iteratively adding the feature which improves the score the most. Stop when there is no further improvement.
You can split the data into train, validate and test sets to measure the performance.
Best regards
Anders