The correlation between two features is - 0.85. What does this value mean? As the value of one feature increases the val

Business, Finance, Economics, Accounting, Operations Management, Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Algebra, Precalculus, Statistics and Probabilty, Advanced Math, Physics, Chemistry, Biology, Nursing, Psychology, Certifications, Tests, Prep, and more.
Post Reply
answerhappygod
Site Admin
Posts: 899603
Joined: Mon Aug 02, 2021 8:13 am

The correlation between two features is - 0.85. What does this value mean? As the value of one feature increases the val

Post by answerhappygod »

The Correlation Between Two Features Is 0 85 What Does This Value Mean As The Value Of One Feature Increases The Val 1
The Correlation Between Two Features Is 0 85 What Does This Value Mean As The Value Of One Feature Increases The Val 1 (34.81 KiB) Viewed 39 times
The correlation between two features is - 0.85. What does this value mean? As the value of one feature increases the value of the second feature also increases As the value of one feature decreases the value of the second feature increases The features show a curvilinear relationship The features are not linearly related

Consider the prostate cancer dataset shown in the table below. P34 level P61 level BMI High Medium Low Low Low Medium High High Low Medium Low Low Low High Low Medium Low Medium Low High Medium Medium High Low Low Low Medium Low High High Prostate cancer Y Y Y N N N Y N N Y To score a new patient with the following data: P34=Medium, P61=Medium, and BMI = High using Naive bayes classifier, what is the best guess at Prostate cancer field and the probability of the classification? Prostate cancer = N, Probability = 0.008 = O Prostate cancer = Y, Probability = 0.08 Prostate cancer = N, Probability = 0.016 = Prostate cancer = Y, Probability = 0.0 =
Join a community of subject matter experts. Register for FREE to view solutions, replies, and use search function. Request answer by replying!
Post Reply