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Hinge surpassed one million paying users in In order to solve this problem, we have used the SMOTE method to oversample the data when building the classification model, so that the sample size corresponding to each classification label tended to be balanced. Contrary to our assumption that asking people to invite more friends would affect the quality of the referrals in terms of their readiness to participate on the site and subscribe to premium features, we found that these new members were as engaged as those invited by users in referral programs that had a lower threshold. Three-in-ten U. Topic models are also universal ways to understand collections of unstructured text documents, they can be used to automate the screening of large amounts of text data. It also attracts referrals from users who would have paid but given the option, prefer to work for their subscription, generating more referrals but fewer paying users. Hinge has grown significantly, having a market share of

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