Imputation method, publishable?

Hello everyone, I am a master's degree student in data analysis, and after a class where we discussed k-NN as a method for imputing missing data, I came up with an algorithm that uses measures from information theory to improve the estimates made for those missing values. So far, I’ve tested the model on three different datasets with missing percentages ranging from 5%, 10%, 15%, up to 85%. The results were compared using metrics such as MAE, MAPE, R², Pearson correlation, and RMSE. In all tests, the model outperformed k-NN.

My question is, I’m fully aware that this isn’t anywhere near groundbreaking and is more of an academic exercise that arose from experimenting with concepts I’ve been learning. However, I wonder if this could be something publishable. If so, could you suggest any journals that might be a good fit? Of course, I still need to conduct more tests and refine the math, but my question is: assuming everything continues to show robust results, would it be worth pursuing?

Thank you in advance for your time and help.