Abstract: Techniques for generating and evaluation predictive models to optimize computing applications are described herein. In some embodiments, a system generates, using a model, a first set of scores for a plurality of accounts, wherein a score in first set of scores for a respective account characterizes a priority of interacting with the respective account relative to other accounts in the plurality of accounts, wherein the model defines a set of criteria for scoring accounts, wherein each criterion in the set of criteria is associated with one or more feature values and a weight. The system may receive user input that modifies the set of criteria. Responsive to the user input the system may update the model and generate, using the updated model, a second set of scores for the plurality of accounts. Actions may be prioritized/executed based at least in part on the account scores.

Abstract: Techniques for generating and evaluation predictive models to optimize computing applications are described herein. In some embodiments, a system generates, using a model, a first set of scores for a plurality of accounts, wherein a score in first set of scores for a respective account characterizes a priority of interacting with the respective account relative to other accounts in the plurality of accounts, wherein the model defines a set of criteria for scoring accounts, wherein each criterion in the set of criteria is associated with one or more feature values and a weight. The system may receive user input that modifies the set of criteria. Responsive to the user input the system may update the model and generate, using the updated model, a second set of scores for the plurality of accounts. Actions may be prioritized/executed based at least in part on the account scores.