  In MCM/ICM 2023, we proposed a new result prediction model for the popular
game Wordle launched by The New York Times. We first preprocessed the raw data
and then established a prediction model based on ARIMA to predict the number of
report results as of March 1, 2023. We selected word usage frequency, word
information entropy, and the number of repeated letters contained in the word
as the attributes of the word, and conducted a correlation analysis between
these three attributes and the percentage of seven attempts. We also
established a regression model based on the XGBoost algorithm, predicted the
distribution of reported results, and predicted the correlation percentage of
"EERIE". In addition, we also constructed a word classification model that
classified words into "simple", "moderate", and "difficult", and explored the
relationship between the three attributes and the classification results.
Finally, we calculated the percentage of players in the dataset who needed 3 or
more attempts for each word. The appendix provides relevant information and
problems to be solved for the mathematical modeling competition.
