**Create a visual representation, like a bar chart or line graph, that compares performance metrics in an AI classification task. Include metrics such as accuracy, precision, recall, F1 score, and AUC-ROC on the y-axis, and different experiments or datasets on the x-axis. The graph should clearly demonstrate the varying values of each metric across the experiments or datasets, allowing for a comparison of their importance and trade-offs.** - Image #1 <@761305052005924964>
Create a visual representation, like a bar chart or line graph, that compares performance metrics in an AI classification task. Include metrics such as accuracy, precision, recall, F1 score, and AUCROC on the yaxis, and different experiments or datasets on the xaxis. The graph should clearly demonstrate the varying values of each metric across the experiments or datasets, allowing for a comparison of their importance and tradeoffs.