0 WORDS POWERED BY TIM QUESTION 12 2 points Save Ar A KNN model was built...

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0 WORDS POWERED BY TIM QUESTION 12 2 points Save Ar A KNN model was built on the Airbnb data to predict if a listing will have a perfect rating (perfect_rating = 1). A host has a new property they need to list and are using the model to determine how their listing will be perceived. Below are the 10 most similar listings to the new property. row num perfect_rating distance 1 20 1.564 1 1.558 ZE 1.569 1352 184 226 1.571 570 1 1322 2173 1.417 1.508 a.) Using K=9, what are the most similar rows to the new property? b.) Using K=9, would you predict that the new proprty will have a perfect rating? Show your calculation. For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph Arial 10pt Click Save and Submit to save and submit. Click Save All Answers to save all answers. APR 28 F2 80 F3 $ 94 000 000 F4 3 TA 60 H XO O Q ... NA MacBook Air F5 F6 % 25 6 27 & Save All Answers Save and F7 F8 F9 F10 F11 8 9 0 0 WORDS POWERED BY TIM QUESTION 12 2 points Save Ar A KNN model was built on the Airbnb data to predict if a listing will have a perfect rating (perfect_rating = 1). A host has a new property they need to list and are using the model to determine how their listing will be perceived. Below are the 10 most similar listings to the new property. row num perfect_rating distance 1 20 1.564 1 1.558 ZE 1.569 1352 184 226 1.571 570 1 1322 2173 1.417 1.508 a.) Using K=9, what are the most similar rows to the new property? b.) Using K=9, would you predict that the new proprty will have a perfect rating? Show your calculation. For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph Arial 10pt Click Save and Submit to save and submit. Click Save All Answers to save all answers. APR 28 F2 80 F3 $ 94 000 000 F4 3 TA 60 H XO O Q ... NA MacBook Air F5 F6 % 25 6 27 & Save All Answers Save and F7 F8 F9 F10 F11 8 9 0