The Research Of College Entrance Examination's Admission And Prediction Based On K-nearest Neighbor

In recent years, with the coming of the era of big data, the statistical learning method based on data has attracted worldwide attention, through the law of the data mining technology to obtain and information have been including market analysis, business management, engineering design, scientific exploration has been widely applied in many aspects.The College entrance examimation has always been a socially top focus, statistical learning method is using data mining techniques, obtained from the specified data information we need,let us make a more practical and effective decision making to solve corresponding problems. This article will with the aid of statistical learning approach to scientific and reasonable projections for the college entrance examination. At present, the application field of statistical learning method is very widely, such as speech recognition,the forecast analysis of stocks, biological information statistics, etc. In statistical learning approach,K neighbor method is a kind of common learning method, and has good promotion. For this reason, based on K nearest neighbor algorithm as the main tool, the university entrance exam forecast analysis. After defining the method model, then need to collect data.To the rational and scientific projections for the college entrance examination, this paper,taking a representative by Xiangtan city ordinary high school class of 2016 students of senior three, finishing the 652 examinee four times simulation test scores and grades,delete the lack of test data, a total of 520 students test scores. Then use K neighbor algorithm to analyze and deal with these data, forecast admitted to the university entrance exam scores and batch.Based on the collected data set, in the experiment, we mainly involves two situations,respectively is the college entrance examination basis points of prediction and forecasting of the college entrance examination admission batches. At the end of the experiment, we will be the result of the experiment and the college entrance examination in 2016,comparing the actual situation will also be K neighbor method of experimental results and experimental results under the neural network method of horizontal comparison, the results showed that K neighbor in the college entrance examination predict with good accuracy and feasibility.