Prediction Model of Word EERIE Based on BP Neural Network

Abstract

This paper uses BP neural network algorithm to determine the difficulty level of the word EERIE by constructing a neural network model, and determine its relationship with the word length, word commonness, letter frequency and other attributes to predict the relevant percentage of the future date, and discusses the uncertainty of the model, the accuracy of the classification model and other characteristics of the data set. In terms of accuracy, the random forest algorithm is the best, 72%, and the k-nearest neighbor algorithm is the worst. In terms of F1 score, logistic regression algorithm performs the best conclusion.