Home » Data Science » Machine Learning » Say you have trained a decision tree which never splits on a variable X. What will be the variable importance for X using the permutation method? Q: Practice More Questions From: ML Interpretation Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 2000+ Qs Machine Learning 1000+ Qs Created with Fabric.js 4.6.0 Similar Questions Which decision boundary corresponds to the following decision tree? In the options, red indicates high risk, blue indicates low risk.Using regression imputation, and the decision tree shown here, what is your prediction for this person's risk of heart attack?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?You say that you will respond professionally using the information you currently have available in order to move quickly past the objection.You train the random forest pictured below and it gets a c-index of 0.90. After shuffling the values for x, your dataset is the following. What is the variable importance for x?Calculate the conditional average treatment effect applying the Two-Tree Learner method, the patient has an Age=61 and BP= 130.Let’s say you have a relatively small training set (~5 thousand images). Which training strategy makes the most sense? Now let’s say you have a very large dataset (~1 million images). Which training strategies will make the most sense?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…True or False: A tree of depth 1 is more expressive than a classical linear model.Fill in the blank: An effective slideshow guides your audience through your main communication points, but it does not repeat every word you say. A best practice is to keep text to fewer than…Now let’s say F1 score is at least 0.75. Now which of the following values of precision are possible? 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…Assume you have missing data on one of your features, and are considering two options: True or False: "Both options have the same performance".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? Created with Fabric.js 4.6.0 Practice More Questions Data Analysis 200+ Qs Machine Learning 100+ Qs