The present invention is related to a method for providing with a score an object represented by a target item from a multidimensional space, said score being representative of the probability that the object satisfies a given binary property, said method being performed in a computer environment comprising processing means connected to memory means, comprising the following steps: (a) providing and storing in the memory means data representative of a set of sample items from said multidimensional space, each sample item being associated with a multi-value label representative of the probability that an object represented by said sample item satisfies the given binary property; (b) storing in the memory means data representative of the target item; (c) with said processing means, generating and storing in said memory means data representative of an oriented binary tree with a given height, said binary tree being defined by a plurality of nodes having index values in relation with their position in the binary tree, said nodes comprising a root node, intermediate nodes and terminal nodes, and each node being associated with a subspace of the multidimensional space according to the following rules: if the node is a root node, the associated subspace is the whole multidimensional subspace; if the node is a non-terminal node, its associated subspace is split into two disjoint subspaces ε+ and ε− and respectively associated with a first child node and a second child node of said non-terminal node, said splitting being performed by the processing unit according to a classifier minimizing the number of sample items associated with a first given label value to belong to the subspace ε+, and/or the number of sample items associated with a second given label value to belong to the subspace ε−, said second label value being representative of a higher probability that an object represented by said sample item satisfies the given binary property than said first given label value; (d) with said processing means, associating with at least each terminal node of the binary tree a score depending on its index value in the binary tree, and storing the score value in the memory means; (e) with said processing means, identifying a target node, the target node being a teminal node whose associated subspace comprises the target item; and (f) outputting the score value associated with said target node. The invention is also related to a decision-support system.