{
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    "description": "**Author**: L.Jerlin Rubini\n**Source**: [UCI](https:\/\/archive.ics.uci.edu\/ml\/datasets\/chronic_kidney_disease) - 2015\n**Please cite**: [UCI](https:\/\/archive.ics.uci.edu\/ml\/citation_policy.html)  \n\n**Chronic_Kidney_Disease Data Set**\n\nThis dataset can be used to predict the chronic kidney disease and it can be collected from the hospital nearly 2 months of period.\n\n### Attribute information\n\nWe use 24 + class = 25 ( 11 numeric ,14 nominal) \n1. Age(numerical) \nage in years \n2. Blood Pressure(numerical) \nbp in mm\/Hg \n3. Specific Gravity(nominal) \n4. Albumin(nominal) \n5. Sugar(nominal) \n6. Red Blood Cells(nominal) \n7. Pus Cell (nominal) \n8. Pus Cell clumps(nominal) \n9. Bacteria(nominal) \n10. Blood Glucose Random(numerical) \n11.Blood Urea(numerical) \n12. Serum Creatinine(numerical) \n13. Sodium(numerical) \n14. Potassium(numerical) \n15. Hemoglobin(numerical) \n16.Packed Cell Volume(numerical) \n17. White Blood Cell Count(numerical) \n18. Red Blood Cell Count(numerical) \n19. Hypertension(nominal) \n20. Diabetes Mellitus(nominal) \n21. Coronary Artery Disease(nominal) \n22. Appetite(nominal) \n23. Pedal Edema(nominal) \n24. Anemia(nominal) \n25. Class (nominal) ",
    "format": "arff",
    "uploader": "Meilina Reksoprodjo",
    "uploader_id": 24140,
    "visibility": "public",
    "creator": "L.Jerlin Rubini",
    "contributor": null,
    "date": "2021-05-28 10:54:47",
    "update_comment": null,
    "last_update": "2021-05-28 10:54:47",
    "licence": "Publicly available",
    "status": "active",
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    "url": "https:\/\/www.openml.org\/data\/download\/22045641\/dataset",
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            "chronic-kidney-disease",
            "This dataset can be used to predict the chronic kidney disease and it can be collected from the hospital nearly 2 months of period. ### Attribute information We use 24 + class = 25 ( 11 numeric ,14 nominal) 1. Age(numerical) age in years 2. Blood Pressure(numerical) bp in mm\/Hg 3. Specific Gravity(nominal) 4. Albumin(nominal) 5. Sugar(nominal) 6. Red Blood Cells(nominal) 7. Pus Cell (nominal) 8. Pus Cell clumps(nominal) 9. Bacteria(nominal) 10. Blood Glucose Random(numerical) 11.Blood Urea(numer "
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