Closed
Description
Our code uses several metrics to compare accuracy such as precision, recall, F1_Score.
- I would like to firstly, visualize a confusion matrix for the same using heatmap, create a prec-recall curve and plot an ROC curve for the classification algos performed on finding job satisfaction.
- Describe each metric that we use in the notebook through markdown or atleast comments to inform users about how the accuracy is calculated.
- Optimize the results as much as possible.
Please assign me this task as a contributor under GSSOC'24 @sanjay-kv.