Home » Data Science » Machine Learning » True or False: A tree of depth 1 is more expressive than a classical linear model. Q: Practice More Questions From: Prognosis With Tree-Based Models Created with Fabric.js 4.6.0 Similar Questions A linear risk model for the risk of heart attack has three inputs: Age, Systolic Blood Pressure (BP), and the interaction term between Age and Systolic Blood Pressure. The coefficients for Age, BP,…Could the following table of outputs be given by a linear model with no interactions (assume not including a feature means setting it to 0)?A data analyst creates a data frame with data that has more than 50,000 observations in it. When they print their data frame, it slows down their console. To avoid this, they decide to switch to a…True or False: If t is larger than the longest survival time recorded in the dataset, then S(t) = 0S(t)=0 according to the Kaplan-Meier estimate.You are working with the penguins dataset. You want to use the summarize() and min() functions to find the minimum value for the variable bill_depth_mm. You write the following code:penguins…You’ve fit a random forest of 10 trees with max depth 20. Your training ROC is 0.99 and test ROC is 0.54. Which of the following is NOT a reasonable thing to try?Model 1 has a c-index of 0.7 and Model 2 has a c-index of 0.6. Which is more accurate using a threshold of 0.5 for the risk score?For every specificity, as we vary the threshold, the sensitivity of model 1 is at least as high as model 2. Which of the following must be true?You have a model such that the lowest score for a positive example is higher than the maximum score for a negative example. What is its ROC AUC?A data analyst is working with a dataset in R that has more than 50,000 observations. Why might they choose to use a tibble instead of the standard data frame? Select all that apply.The _____ aesthetic makes some points on a plot more transparent, or see-through, than others.A data analyst creates a scatterplot with a lot of data points. The analyst wants to make some points on the plot more transparent than others. What aesthetic should the analyst use?Using regression imputation, and the decision tree shown here, what is your prediction for this person's risk of heart attack?Which decision boundary corresponds to the following decision tree? In the options, red indicates high risk, blue indicates low risk.Using the S-Learner, or Single Tree, method, what is the conditional average treatment effect for a 61 year-old patient with a blood pressure (BP) of 140? Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 200+ Qs Machine Learning 100+ Qs