Question 3What’s the correct order for using a model? 1 pointSplit the data into training and test sets, fit the model on the train set, evaluate model accuracy.Clean the data, split the data into training and test sets, fit the model on the train set, evaluate model accuracy.Split the data into the training and test sets, fit the model on the train set, clean the data, evaluate model accuracy.Clean the data, fit the model on the entire dataset, split the data into training and test sets, evaluate model accuracy.

Which of the following best describes the order of the 3-way split for model validation when fine-tuning of hyperparameters?Group of answer choicesValidation set; Training set; Test setTraining set; Validation set; Test setTraining set; Test set; Validation setTest set; Training set; Validation set

Discuss the scenarios in which each model would be most appropriate.

Question 2Complete the following sentence: The training data is used to fit the model, while the test data is used to:1 pointmeasure the parameters and hyperparameters of the modeltweak the model hyperparameterstweak the model parametersmeasure error and performance of the model

Model Data - Best Practices Which of the following are best practices to follow when finalizing a star schema data model? (Select all that apply)Review LaterHide the foreign key on the many-side of a relationshipSet the sort order of columns where applicableSet the data categories of columns where applicableHide numeric columns that drive DAX measures

Which of the following statements about model fitting and fine tuning is most accurate?Group of answer choicesFine tuning is also often called “model estimation”A model’s hyperparameters are learned by fitting the model to the training dataFine tuning is based on a trial-and-error systemThe model’s in-sample performance is estimated during fine tuning