[Bug]: Model Evaluation Metrics Display Incorrectly in Streamlit App

[Swapnilden]

Is there an existing issue for this?

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What happened?

In the Streamlit app for job satisfaction prediction, the evaluation metrics (accuracy, classification report, confusion matrix, ROC curve) are incorrectly displayed based on the prediction of a single input rather than using actual test data. This causes misleading results and incorrect model performance metrics. When a user inputs their data and submits the form, the app makes a prediction and then attempts to display evaluation metrics using this single input. This results in inaccurate accuracy scores, confusion matrix, and ROC curve because they are based on a single prediction rather than a comprehensive test set.

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What browsers are you seeing the problem on?

Firefox, Chrome, Safari, Microsoft Edge

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• [X] I want to work on this issue
• [X] I'm willing to provide further clarification or assistance if needed.

[github-actions[bot]]

Hi there! Thanks for opening this issue. We appreciate your contribution to this open-source project. We aim to respond or assign your issue as soon as possible.

[github-actions[bot]]

Hello @Swapnilden! Your issue #334 has been closed. Thank you for your contribution!