Abstract: A method and apparatus for scoring member data in a social networking service is provided. A method comprises receiving input that indicates a particular feature that is not in a set of features upon which a first model is based. In response to receiving the input, training a plurality of models based on training data and a plurality of features that includes the set of features and the particular feature, and selecting, based on one or more criteria, a particular model from among the plurality of models that includes a second model that is of the same type as the first model. Using the particular model to score a particular data set based on the plurality of features indicated in the particular data set.

Abstract: A method and apparatus for scoring member data in a social networking service is provided. A method comprises receiving input that indicates a particular feature that is not in a set of features upon which a first model is based. In response to receiving the input, training a plurality of models based on training data and a plurality of features that includes the set of features and the particular feature, and selecting, based on one or more criteria, a particular model from among the plurality of models that includes a second model that is of the same type as the first model. Using the particular model to score a particular data set based on the plurality of features indicated in the particular data set.

Abstract: A method and apparatus for scoring member data in a social networking service is provided. A method comprises training a model based on training data and a plurality of features that includes (1) one or more first features associated with activities of members of a social network service and (2) one or more second features associated with attributes of the members of the social network service; identifying one or more activities associated with a particular member account that is maintained by the social network service; identifying one or more attributes, associated with the particular member account, that are different than the one or more activities; using the model to generate a score based on the one or more activities and the one or more attributes; determining, based on the score, whether to apply a restriction to the member account to prevent a member of the member account from performing one or more actions associated with the social network service.