Comparative machine learning analysis of wear characteristics in industrial waste-filled epoxy-jute composites

Key Points

• This research aims to analyze the wear characteristics of epoxy-jute composites using machine learning techniques.
• Machine learning algorithms were employed to assess wear characteristics.
• The analysis involved comparing wear data from different composite formulations.
• Performance metrics, including prediction accuracy and error rates, were calculated.
• Achieved prediction accuracy values of 0.9999 with low error rates.
• Practical outcomes closely aligned with optimal predicted results.