Recently, Wordle has become popular worldwide as a daily puzzle game launched by the New York Times. Players try to solve guessing five-letter word in six tries or less. According Wordle's statistical data, this paper first uses K-means algorithm cluster difficulty of solution words quantify English and analyzes accuracy scientificity clustering results. Then, Random Forest model classify into ...

Abstract This paper proposes a new boundary uncertainty-based estimation method that has significantly higher accuracy, scalability, and applicability than our previously proposed uncertainty method. In previous work, we introduced classifier evaluation metric termed “boundary uncertainty.” The name uncertainty” comes from evaluating the based solely on measuring equality between class posterio...

Classification technique is important tool in data mining for the classification and grouping of data. The techniques of data mining offer various types of classification technique such as binary classifier, statistical classifier; neural network based classifier and also gives rule based classifier. The applicability of classifier depends on the processing of data domain. Now a day’s rule base...