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What is a drawback to performing data cleansing (imputation, transformations, etc.) on raw data prior to partitioning the data for honest assessment as opposed to performing the data cleansing after partitioning the data? Question:...
A confusion matrix is created for data that were oversampled due to a rare target. What values are not affected by this oversampling? Question: What values are not affected by this oversampling? Options: Sensitivity...
Refer to the exhibit:The plots represent two models, A and B, being fit to the same two data sets, training and validation.Model A is 90.5% accurate at distinguishing blue from red on the training...
Which statistic, calculated from a validation sample, can help decide which model to use for prediction of a binary target variable? Question: Which statistic, calculated from a validation sample, can help decide which model...
In order to perform honest assessment on a predictive model, what is an acceptable division between training, validation, and testing data? Question: What is an acceptable division between training, validation, and testing data? Options:...
The total modeling data has been split into training, validation, and test data. What is the best data to use for model assessment? Question: What is the best data to use for model assessment?...
Including redundant input variables in a regression model can: Question: Including redundant input variables in a regression model can: Options: Stabilize parameter estimates and increase the risk of overfitting. Destabilize parameter estimates and increase...
One common approach for predicting rare events in the LOGISTIC procedure is to build a model that disproportionately over-re presents those cases with an event occurring (e.g. a 50-50 event/non-event split).What problem does this...
A non-contributing predictor variable (Pr > |t| =0.658) is added to an existing multiple linear regression model.What will be the result?right choice of answer. Question: What will be the result? Options: An increase in...
The selection criterion used in the forward selection method in the REG procedure is: well answered. Question: The selection criterion used in the forward selection method in the REG procedure is: Options: Adjusted R-Square...
