Methods and systems for best-fitting meeting time prediction by ad-hoc ensemble creation for personalized classification with a group scope are disclosed. A computer-implemented method includes: receiving, by a computing device, a request to determine a timeslot for a meeting, the request including a plurality of invitees and information about a meeting requester; reading, by the computing device, for each of the plurality of invitees, information about currently scheduled meetings and a profile including a weight assigned to the meeting requester; determining, by the computing device, for each of a plurality of candidate timeslots, an ensemble value for the candidate timeslot based on the information about the currently scheduled meetings and the weight assigned to the meeting requester for each of the plurality of invitees; and selecting, by the computing device, the timeslot for the meeting based on the ensemble values for the candidate timeslots.
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