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In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data?A . Training: 50% Validation: 0% Testing: 50%B . Training: 100% Validation: 0% Testing: 0%C . Training: 0% Validation: 100% Testing: 0%D . Training: 50% Validation: 50% Testing: 0%View AnswerAnswer:...
Which statement and option combination will generate these statistics?
An analyst generates a model using the LOGISTIC procedure. They are now interested in getting the sensitivity and specificity statistics on a validation data set for a variety of cutoff values. Which statement and option combination will generate these statistics?A . Score data=valid1 out=roc;B . Score data=valid1 outroc=roc;C . mode1...
What is the profit matrix for a typical person in the population?
A marketing campaign will send brochures describing an expensive product to a set of customers. The cost for mailing and production per customer is $50. The company makes $500 revenue for each sale. What is the profit matrix for a typical person in the population? A . Option AB ....
Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county?
Which SAS program will divide the original data set into 60% training and 40% validation data sets, stratified by county? A . Option AB . Option BC . Option CD . Option DView AnswerAnswer: C
When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?
When mean imputation is performed on data after the data is partitioned for honest assessment, what is the most appropriate method for handling the mean imputation?A . The sample means from the validation data set are applied to the training and test data sets.B . The sample means from the...
