Integrating global and local application of random subspace ensemble
Sotiris B. Kotsiantis · Journal of Intelligent & Fuzzy Systems · 2014
Many data analysis problems involve an investigation of relationships between attributes in heterogeneous databases, where different prediction models can be more appropriate for different regions. We propose a technique of integrating global and local random subspace ensemble. We performed a comparison with other well known combining methods on standard benchmark datasets and the proposed technique gave better accuracy.