Question

Combing loT with ML may help assemble a more complete context of the members (customers) QUESTION 10 Based on scenario in the previous question, which one of the following statements below is wrong? If the accuracy improves to 99% then the system may not be able to reduce both Type l and Type 1 errors (simultaneously If the system is accurate 95% of the time it may still make some Type 1 errors. Supervised learning reduces Type l errors, while unsupervised learning reduces Type ll errors (in the context of MAC's tracking system) Even at 99% accuracy levels, the system may make both Type l and Type II errors. QUESTION 11 Save All Answers Click Save and Submit to save and submit. Click Save All Answers to save all ansuvers 20 g88 esC 0

Answer 1

9 .) Combing Iot with ML may help assemble a more complete context of the customers.

They use iot to catch the feelings of customers in aerobics room etc. ,

10.) If the system is accurate 95% of time it still make some type 1 errors.