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26 utilized machine learning models, including Random Forest and XGBoost, trained on sensor, blood test, and lifestyle data to predict smoking and drinking behaviours, achieving up to 79.65% and 73.96% accuracy respectively

I ended up on a shrinks couch and he told me to write down how much I did in a week 20 Es, four grams of coke, six of speed, half an ounce of hash, three bottles of Jack Daniels, 12 bottles of red wine, 60 pints, and 40 fags a day

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