Solar flare is one of the violent solar eruptive phenomena; many solar flare forecasting models are built based on the properties of\nactive regions. However,most of these models only focus on active regions within 30Degree of solar disk center because of the projection\neffect. Using cost sensitive decision tree algorithm, we build two solar flare forecasting models from the active regions within 30Degree\nof solar disk center and outside 30Degree of solar disk center, respectively. The performances of these two models are compared and\nanalyzed. Merging these two models into a single one, we obtain a full-disk solar flare forecasting model.
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