Fusion of OBE Framework and RF Algorithm in Enhancing the Teaching Evaluation System for Comprehensive Practical Course

In response to the issues within the traditional teaching evaluation system for comprehensive practical courses, this study constructed a comprehensive teaching evaluation system based on the Outcome-Based Education (OBE) concept. Subsequently, the study introduced the Random Forest algorithm to conduct an in-depth analysis of the weightings of various indicators within the existing evaluation system. Leveraging the relative importance provided by the Random Forest method, it precisely optimized the weights assigned to the four key components. Ultimately, a rational evaluation system was successfully established, capable of accurately assessing students' learning outcomes and practical abilities in the comprehensive practical course, ensuring the accuracy and fairness of the evaluation.