human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups papers that share a common citing paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Prognosing the femoral neck fracture recovery with machine learning"):
  Abstract: We compare the performance and explanation abilities of several machine learning algorithms in the problem of predicting the femoral neck fracture recovery. Among different algorithms, the semi naive Bayesian classifier and Assistant-R seem to be the most appropriate. We analyze the combination of decisions of several classifiers for solving the prediction problem and show that the combined classifier improves both the performance and explanation ability.

Includes members:
  Member "Estimating Attributes: Analysis and Extensions of RELIEF":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Induction of decision trees and Bayesian classification applied to diagnosis of sport injuries")

Question: Please tell me which class the citing paper (i.e., the source paper of the center hyperedge) belongs to. The 7 classes are: Neural_Networks, Reinforcement_Learning, Probabilistic_Methods, Theory, Genetic_Algorithms, Case_Based, Rule_Learning. Directly output the class name.

gpt: Rule_Learning