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README.md
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@@ -8,49 +8,51 @@ datasets:
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widget:
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structuredData:
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fixed_acidity:
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volatile_acidity:
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citric_acid:
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residual_sugar:
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chlorides:
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free_sulfur_dioxide:
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total_sulfur_dioxide:
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density:
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pH:
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sulphates:
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alcohol:
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---
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## Wine Quality classification
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@@ -116,5 +118,4 @@ model.score(X, Y)
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### 🍷 Disclaimer
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No red wine was drunk (unfortunately) while training this model 🍷
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widget:
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structuredData:
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fixed_acidity:
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- 7.4
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- 7.8
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- 10.3
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volatile_acidity:
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- 0.7
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- 0.88
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- 0.32
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citric_acid:
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- 0
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- 0
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- 0.45
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residual_sugar:
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- 1.9
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- 2.6
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- 6.4
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chlorides:
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- 0.076
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- 0.098
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- 0.073
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free_sulfur_dioxide:
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- 11
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- 25
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- 5
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total_sulfur_dioxide:
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- 34
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- 67
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- 13
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density:
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- 0.9978
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- 0.9968
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- 0.9976
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pH:
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- 3.51
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- 3.2
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- 3.23
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sulphates:
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- 0.56
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- 0.68
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- 0.82
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alcohol:
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- 9.4
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- 9.8
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- 12.6
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library_name: sklearn
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pipeline_tag: tabular-classification
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---
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## Wine Quality classification
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### 🍷 Disclaimer
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+
No red wine was drunk (unfortunately) while training this model 🍷
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