Research On Physical Health Prediction Model Of College Students Based On Principal Component Analysis

Chinese youth have always been the vanguard force in realizing the great rejuvenation of the Chinese nation.As a new force in the youth group,college students have always been plagued by physical health problems.In order to solve the problem of physical health of college students,China will promote college students to improve physical literacy and develop a healthy lifestyle as an important part of school physical education in the form of policy documents,and the physical health level of college students will be included in the assessment system of the government,education administrative departments and schools,and the physical health promotion plan for college students will be fully implemented.In order to ensure the orderly development of the physical health improvement of college students,physical health monitoring is indispensable,and perfect structural equations and mature theoretical algorithms are undoubtedly of great benefit to the smooth progress of monitoring work.Based on the analysis and testing of sample data,this study constructs a data prediction model for the physical health of male and female college students by means of structural equations and theoretical algorithms;the principal component analysis method is used to extract the main components of the physical health data of male and female college students and calculates the scores of each principal component on the basis of full analysis of the main components of each physical health;the gray prediction theory is used to model the scores of each main component of the physical health of male and female college students.The validity of the model is verified by testing.The main research contents and conclusions of this paper are as follows:1.Data collection and processing analysis of physical health samples of college students.It mainly includes the collection and collation of physical health assessment data of college students,the units and values of relevant index data,the processing of outliers of data,the normality test and correlation analysis.First,the data with vacant values are excluded through the visual analysis of the data;secondly,the outliers of obvious errors are eliminated and the units and values of the relevant indicators are determined according to the distribution of the data through descriptive statistics of the data;finally,the outliers in the indicator data are processed by using the Raida criterion method(3σ principle),and on this basis,the data of male and female universities are analyzed and the correlation test is analyzed and tested separately.Through the above steps,it is concluded that the physical health development of soochow university students is average,and the development of various indicators is uneven,and it is necessary to strengthen the development of key points.2.Analysis of the main components of college students’ physical health.It mainly includes the selection of physical health indicators for college students,the construction of the indicator system framework,the extraction of principal components and the calculation of the main component scores and comprehensi ve scores of male and female college students in different years.Firstly,by standardizing the data,eliminating the strong correlation between the data,the possibility of principal component analysis is analyzed,and then the correlation coefficient matrix,eigenvalues and eigenvectors,contribution rate and cumulative contribution rate,principal component load and principal component score of the optimal sample matrix are calculated according to the principal component analysis principle.Through calculation and analysis,it is concluded that the main components of the physical health data of male and female college students are well fitted and can be used as a reference index for the evaluation of physical health of college students.3.Construction of physical health prediction model for college students.On the basis of principal component extraction,a GM(1,1)model is introduced to predict the extracted principal components.Firstly,the original data series is tested by applying the method of grade ratio test;then,the relative error method is used as the error evaluation index to measure the accuracy of the prediction;finally,the prediction model of the principal component of male and female college students is constructed and analyzed.Through the construction of the physical health model of college students,it is concluded that the prediction model of the principal component of college students’physical health has high accuracy and can be used as a short-and medium-term prediction of the development of college students’ physical health changes.