An AI Based Approach for Classification and Performance Evaluation of Teaching Assistant

In order to test and evaluate the performance of various machine learning classifiers for teaching assistant classification, this research will use machine learning approaches. The teaching assistant dataset was taken from the Kaggle data store. After preprocessing the data to remove any inconsistencies, many supervised learning techniques were used, and their efficacy was assessed. The outcomes show that for the teaching assessment models, the ensemble technique performs better than the conventional classification techniques.