With the fast development in the subject of computer science and technology, the combination of machine learning algorithms and electronic business is needed. There may be some unpredictable but frequent problems such as delay in shipment, shipping errors caused by E-commerce participants' low efficiency. There are problems will have a negative impact on enterprises participants end up. The efficiency of e-commerce is an important way for a proper evaluation of improving management. In this paper, we propose the theory of knowledge mining based on Rough Set Theory to handle the vague and inaccurate information about the evaluation of supplier and mine the law knowledge that exists between input variables and adverse position. The RST output is then used as the feature and sent to the Logistic regression (LR) to the electronic commerce website product grade. The proposed method, called RST-LR, the discretization process by the attribute values; the minimum attribute set filtering; evaluation criteria; the establishment of calculation accuracy of ranking and assessment system. We simulate and experiment the algorithm and illustrate the accuracy.
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