Home » Data Science » Machine Learning » 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, and the interaction term are 0.1, 0.3, and 0.5. Can you determine how an increase in blood pressure is affected by an increase in age? Q: Practice More Questions From: Linear Prognostic Models Created with Fabric.js 4.6.0 Similar Questions Let’s say blood pressure (BP) measurements are more likely to be missing among young people, who generally have lower blood pressure. You use mean imputation to train your model. Which option…Using regression imputation, and the decision tree shown here, what is your prediction for this person's risk of heart attack?You are studying the effect of a new treatment for heart attack, your job consists in looking at outcomes of the effect in patients, fill the unit level treatment effect column using the Neyman-Rubin…You want to measure the proportion of people with high blood pressure in a population. You sample 1000 people and find that 55% have high blood pressure with a 90% confidence interval of (50%, 60%).…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?True or False: A tree of depth 1 is more expressive than a classical linear model.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 inputs asterisks before a word or phrase in R Markdown. How will this appear in the document?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?A data analyst uses the bias() function to compare the actual outcome with the predicted outcome to determine if the model is biased. They get a score of 0.8. What does this mean?Which decision boundary corresponds to the following decision tree? In the options, red indicates high risk, blue indicates low risk.Calculate the conditional average treatment effect applying the Two-Tree Learner method, the patient has an Age=61 and BP= 130.What is the sensitivity and specificity of a model which randomly assigns a score between 0 and 1 to each example (with equal probability) if we use a threshold of 0.7?Fill in the blank: In ggplot2, the term mapping refers to the connection between variables and _____ .A data analyst is using statistical measures to get a better understanding of their data. What function can they use to determine how strongly related are two of the variables? Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 200+ Qs Machine Learning 100+ Qs
