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After finding that your model predicting marital status (married/single) is overfitting, you use Chi-Square test for independence and Cramer's V to evaluate variable importance. You

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After finding that your model predicting marital status (married/single) is overfitting, you use Chi-Square test for independence and Cramer's V to evaluate variable importance. You obtain the following Cramer's V values. Which of the variables is the most important predictor variable? Smoker Hair_Color Gender Cat_Owner You are given healthcare data with the following variables: Age: the age of the patient BMI: the body mass index of the patient Smoking: indicates if the patient smokes (1) or not (0) Marital: indicates if the patient is married (1) or single (0) Tot_Chol: the total cholesterol value of the patient The doctor wants to use information about patients, including Age, Tot_Chol, and Martial, to build a model to predict if the patient is a smoker (Smoking). Which of the following is NOT a predictive model that can be used? Decision Trees Linear Regression k-Nearest Neighbors Logistic Regression

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