“Photo-taking”APP Pricing Scheme Design Based on Logistic Regression

This paper aims to make a reasonable pricing plan for anphoto-takingApp considering different situations.Firstly,through the K-means clustering analysis of the influencing factors of pricing,a decision tree pricing model is established,which is explained by logarithmic regression and multiple linear regression as auxiliary.The pricing rule of the original plan is obtained,and the task completion situation is established.The Logistic model,combined with statistical analysis and geographic data,was the main factor that affected the task completion.Then,on the premise of considering the total cost,the pricing model is optimized,the user's quota is improved,and the price is adjusted based on the Logistic model to maximize the task completion rate.Finally,a step-by-step clustering algorithm was designed to package the task and further improve the completion rate of the task.