Prediction of Wordle Results Based on Ridge Regression Model and K-means Clustering

Zheng, Xiuhan and Jiang, Xiaoli and Fan, Xiaodong and Wu, Xueshu and Zhou, Yue (2022) Prediction of Wordle Results Based on Ridge Regression Model and K-means Clustering. In: Proceedings of the 2nd International Conference on Mathematical Statistics and Economic Analysis, MSEA 2023, May 26–28, 2023, Nanjing, China.

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Abstract

Wordle is a word game that became known in January 2022. In order to innovate the game and improve the participation of the game, this paper analyzes a series of data by using time series model, gray prediction model, ridge regression, K-means clustering and other methods. In this paper, we predict

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 16:32
Last Modified: 17 Apr 2026 02:35
URI: http://eprints.eai.eu/id/eprint/44254

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