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25 used machine learning, notably Random Forest, to classify smokers and non-smokers based on 17 health features, achieving 88.03% training and 83.29% testing accuracy

Please allow 1-2cm differs due to manual measurement

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Combined with the other signs, staining contributes significantly to the overall clinical picture

Connecticut Attorney General William Tong announced the deal Tuesday on behalf of the states plus Puerto Rico, which joined together in 2020 to probe Juul's early promotions and claims about the safety and benefits of its technology as a smoking alternative