An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
13th Edition
ISBN: 9781461471370
Author: Gareth James
Publisher: SPRINGER NATURE CUSTOMER SERVICE
expand_more
expand_more
format_list_bulleted
Concept explainers
Expert Solution & Answer
Chapter 2, Problem 7E
a.
Explanation of Solution
Euclidean distance
| X1 | X2 | X3 | Y | Distance from origin |
| 0 | 3 | 0 | Red | 3 |
| 2 | ... |
b.
Explanation of Solution
Prediction of value k
- Prediction with K=1 is Green...
c.
Explanation of Solution
Prediction of value k
- Prediction with K=1 is Green.
- This is because t...
d.
Explanation of Solution
Bayes decision boundary
- When K becomes larger, we get a smoother boundary...
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
The paper "The Effects of Adolescent Volunteer Activities on the Perception of Local Society and Community Spirit Mediated by Self-Conception"† describes a survey of a large representative sample of middle school children in South
Korea. One question in the survey asked how much time per year the children spent in volunteer activities. The sample mean was 14.76 hours and the sample standard deviation was 16.54 hours.
USE SALT
Based on the reported sample mean and sample standard deviation, explain why it is not reasonable to think that the distribution of volunteer times for the population of South Korean middle school students is approximately
normal. (Round your answer to nearest percent.)
If the distribution of volunteer times is approximately normal, for the sample standard deviation of s = 16.54 hours and the sample mean of x = 14.76 hours, approximately 19
negative. Therefore, it is not
reasonable to think that the distribution of volunteer times is approximately normal.
% of…
Electronic Spreadsheet Applications
Compare What-If Analysis using Trial and Error and Goal Seek to the given scenario:
Let's say a student is enrolled in an online class at a learning institution for a semester. His overall average grade stands at 43% in the course (Term Grade is 45%, Midterm Grade is 65%, Class Participation is 62% and Final Exam is 0%). Unfortunately, he missed his Final Exam and was given 0%. However, he has the opportunity to redo his Final Exam and needs at least an overall average of 60% to pass the course. How can you use Trial and Error and Goal Seek to find out what is the lowest grade he needs on the Final Exam to pass the class? Which method worked best for you and why?
Explain the flaws in this model training strategy. What's your solution? We want to create a hip X-Ray deformity prediction model. 100 individuals have 640 frontal X-rays. Three orthopedic physicians label the photos as positive or negative for hip deformity. The picture dataset was randomly divided among 80% training (training and validation) and 20% testing.
Chapter 2 Solutions
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- 2. Can you design a binary classification experiment with 100 total population (TP+TN+FP+ FN), with precision (TP/(TP+FP)) of 1/2, with sensitivity (TP/(TP+FN)) of 2/3, and specificity (TN/(FP+TN)) of 3/5? (Please consider the population to consist of 100 individuals.)arrow_forwardgiven the observed data (obsX,obsY), learning rate (alpha), error change threshold, and delta from the huber loss model,write a function returns theta0 and theta1 that minimizes the error. Use pseudo huber loss functionarrow_forwardPlease give me correct solution.arrow_forward
- A histogram is plotted to get an idea of the probability distribution for a feature in a dataset. Given the histogram, what would you estimate for the probability that, for a random sample, the feature lies between 2 and 4? 0.175 0.150 0.125 0.100 0.075 0.050 0.025 0.000 0.5 0.125 0.05 0 0.25 -2 -6 8 10arrow_forwardExplain........arrow_forward1 Change this code from Matlab to Phython: function p = predict (theta, X) % PREDICT Predict whether the label is 0 or 1 using learned logistic 5 åregression parameters theta 4 p = PREDICT (theta, X) computes the predictions for X using a threshold at 0.5 (i.e., if sigmoid (theta'*x) >= 0.5, predict 1) size (X, 1); % Number of training examples % You need to return the following variables correctly zeros (m, 1); p=sigmoid (X*theta); 8 m = 9. 10 11 12 for i=1:m if (p (i) >= 0.5) p(i) =1; 13 14 15 else 16 p(i)=0; 17 end 18 end 19 end olo oto oto oto olo olo olo oto olo olo oto olo olo olo oto olo olo olo olo olo olo ofo o1o olo H23 +56 7arrow_forward
- Exercise 10 Of the sampling distributions from 2 and 3, which has a smaller spread? If you're concerned with making estimates that are more often close to the true value, would you prefer a sampling distribution with a large or small spread?arrow_forwardConsidering the threshold as 0.5, Calculate the F1 measure for attached predictions of a classification model. Group of choice: A. 1 B. 0.45 C. 0.67 D.0.53arrow_forwardWhen building a predictive model, out-of-sample predictive accuracy will always improve when we include any independent variable that leads to an increase in the R-Square. TRUE FALSEarrow_forward
- What is answer ? Q1: Suppose you are working on weather prediction, and use a learning algorithm to predict tomorrow's temperature (in degrees Centigrade/Fahrenheit). Would you treat this as a classification or a regression problem? Q2: Suppose you are working on stock market prediction. You would like to predict whether or not a certain company will declare bankruptcy within the next 7 days (by training on data of similar companies that had previously been at risk of bankruptcy). Would you treat this as a classification or a regression problem?arrow_forwardSolve the problem using STEPWISE Method. Remember to use the step by step procedures (Step 1-7)arrow_forwardA dataset consists of 1,000 elements. Using cross-validation, the sample error rate of hypothesis h1 is found to be 0.07 and that of hypothesis h2 is 0.11. Give the confidence intervals of the two errors and comment how that relates to the statistical difference between the results. ZN =1.96 for a confidence level of 95%.arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Operations Research : Applications and AlgorithmsComputer ScienceISBN:9780534380588Author:Wayne L. WinstonPublisher:Brooks Cole
Operations Research : Applications and Algorithms
Computer Science
ISBN:9780534380588
Author:Wayne L. Winston
Publisher:Brooks Cole