Method for predicting college archives-casting score line by using double-three system

Abstract

The invention discloses a method for predicting a college archives-casting score line by using a double-three system. According to the method, a college archives-casting score line is predicted by using the two-three system. The double-three system is composed of a first "three": namely a passing score line difference method (namely the difference between an archives casting score over the years and a score line of a current batch in the current year), a line difference ratio method (namely the ratio of the difference between the archives casting score over the years and the score line of thecurrent batch in the current year to the score line of the current batch in the current year), and a ranking method (namely a whole-province minimum ranking average value over the years); a second "three": namely carrying out the prediction based on the data of three years composed of the third year, the fourth year and the fifth year. Compared with the prior art, the prediction accuracy and the prediction reliability of a college archives-casting score line can be greatly improved. As a result, reliable data are provided for a candidate for college entrance examination to accurately judge whether a college is matched with the college entrance examination achievement of the candidate or not. As a result, the candidate for college entrance examination can accurately select an ideal college.

Description

technical field [0001] The invention relates to the field of college entrance examination filing analysis, and specifically refers to a method for predicting the college entry filing line by using the two-three system method. Background technique [0002] The rapid development of the Internet, the widespread popularization of mobile terminals such as computers and mobile phones, the disclosure of university information and government high-level recruiting information, the development of database technology, and the development of artificial intelligence technology have provided possibilities for big data analysis and artificial intelligence-guided college entrance examination filling voluntary technology . The most basic function of the college entrance examination voluntary filling auxiliary system is to predict the admission line of colleges and universities in the past year by analyzing the admission line of colleges and universities over the years, and provide candidates...

AI Technical Summary

Problems solved by technology

The most basic function of the college entrance examination voluntary filling auxiliary system is to predict the admission line of colleges and universities in the past year by analyzing the admission line of colleges and universities over the years, and provide candidates with a reference of admission probability, so that candidates can accurately choose the school that is suitable for their college entrance examination results. The original line The error of the difference method is large. Because the score line is different every year, although the candidates' scores around the score line are normally distributed, the shape is different every year. In 2016, there were only 3 batches among the 16 different types of batch planning properties. The accuracy of the planned nature reaches more than 90%, most of which are between 50% and 84%, the reliability is not enough, and the error or error caused by only one method cannot be found in time

Images