The present invention relates to a property selection method and apparatus based on a Monte Carlo tree search, and the property selection method based on a Monte Carlo tree search according to an embodiment of the present invention includes a feature selection tree consisting of nodes representing properties. Selecting a node using the maximum reward value of the node until a node that has not been expanded in the currently expanded attribute selection tree is reached for retrieval; Creating a lower node of the selected node to expand the tree; Expanding and simulating the remaining unexpanded nodes from the generated lower nodes to calculate an optimal subset of attributes; And updating the attribute selection tree by back propagating the simulation result through the selected node.
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