在「Quiz: Can we guess your age and income, based solely on the apps on your phone?」這篇給了一個測驗，透過回答 32 題 Yes/No 的答案來猜測你的性別、婚姻狀態與收入範圍，大約是 61% 到 82% 的準確率：(為什麼會是一個範圍？)
Based on those models, they then found that they could predict a user’s gender, age, marital status and income with between 61- and 82-percent accuracy.
會猜測四個答案，所以是 16 種組合：
There are 16 possible results, based on your gender (male/female), your age (over/under 32), your marital status (married/single) and your income (over/under $52,000).
做完後很不準 XDDD
我猜測用的方式與很久前 pest 講的「網路廣告商怎麼知道你是誰? 從 ClickStream 來判斷用戶資料」的方法類似，用已知的資料去 train 出一個模型，再丟進去判斷...