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SrijanShovit / HealthLearning

A repo comprising of various Machine Learning and Deep Learning projects in healthcare domain.
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diabetesclassification (Using Machine Learning algorithm) #152

Closed ranamanish674zu closed 3 weeks ago

ranamanish674zu commented 3 weeks ago

Describe the bug

The bug in the diabetes classification pipeline is the lack of model training after completing exploratory data analysis (EDA) and preprocessing steps. Without model training, the system cannot learn from the processed data to make accurate predictions.

Expected behaviour

Following EDA and preprocessing, I expected the implementation of a machine learning algorithm for diabetes classification. This would involve training the model on the preprocessed data to learn patterns and relationships, ultimately enabling it to accurately classify instances of diabetes based on input features.

Screenshots

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Additional context

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Code of Conduct

github-actions[bot] commented 3 weeks ago

Congratulations, @ranamanish674zu! 🎉 Thank you for creating your issue. Your contribution is greatly appreciated and we look forward to working with you to resolve the issue. Keep up the great work!

We will promptly review your changes and offer feedback. Keep up the excellent work! Kindly remember to check our contributing guidelines

SrijanShovit commented 3 weeks ago

Have you tried communicating with PA whether he has something aligned or not before categorizing this as a "bug" and "invalid"?