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Anshukumar8529/PREDICTING-HEART-DISEASE-RISK-USING-ML

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The performance of participants' models will be evaluated using appropriate metrics such as accuracy, precision, recall, F1 score, or area under the ROC curve (AUC-ROC). These metrics will provide insight into the models' ability to correctly classify patients into heart disease risk categories.

active 2024-03-222024-03-23 (UTC)

Complete coverage26,671 / 26,671 hourly files (100%) · 2 absent upstream2023-08-152026-08-30 (UTC)
Events
11
Pushes
3
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0
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0
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0
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0

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Line chart, 2 days from 2024-03-22 to 2024-03-23. Pushes: 3 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 0 total, peak 0 in a day.

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Anshukumar85293300

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