Home » Data Science » Machine Learning » You have created a model using mean imputation. At test time, you should fill in missing values with: Q: Practice More Questions From: Prognosis With Tree-Based 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…You are working with the penguins dataset. You want to use the summarize() and mean() functions to find the mean value for the variable body_mass_g. You write the following code:penguins…True or False: When your data is missing at random, then whether or not you are missing a covariate is completely independent of your outcome.You want to use the summarize() and mean() functions to find the mean rating for your data. Add the code chunk that lets you find the mean value for the variable Rating. What is the mean rating?Assume you have missing data on one of your features, and are considering two options: True or False: "Both options have the same performance".Using regression imputation, and the decision tree shown here, what is your prediction for this person's risk of heart attack?Look at the output of model 1 and model 2: Which one will have a lower soft dice loss?A data analyst previously created a series of nested functions that carry out multiple operations on some data in R. The analyst wants to complete the same operations but make the code easier to…A data analyst is using the Color tool in Tableau to apply a color scheme to a data visualization. They want the visualization to be accessible for people with color vision deficiencies, so they use a…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?We have the following table the output of a model f on an example using subsets of the variable. What is the Shapley value for s_BP?We have the following table the output of a model f on an example using subsets of the variable. What is the sum of the Shapley value for s_BP and d_BP? When we’re using a normal approximation, the width of our confidence interval depends on the variance of the normal distribution. Recall that the variance of each sample is identical, but the variance…A data analyst writes the following code chunk to return a statistical summary of their dataset: quartet %>% group_by(set) %>% summarize(mean(x), sd(x), mean(y), sd(y), cor(x, y)) Which function will…Let’s see why F1 is used instead of the regular mean of precision and recall. Let’s say the mean of precision and recall is at least 0.75. Which of the following could be the true value of the… Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 200+ Qs Machine Learning 100+ Qs