Handled missing data with mean imputation. Encoded categorical variables using LabelEncoder. Checked the model’s performance using accuracy and classification report. Visualized the results using a ...

This study develops and implements a machine learning model to forecast expenditures in HICC Grants and Contributions programs, focusing on reimbursement-based claims. A comparative analysis of ...

We developed a novel method for predicting meteorological phenomena by using the Random Forest Model (RFM) and Rough Set Theory (RST). We have used RST to find the most significant meteorological ...