UCI: Wine recognition

Use chemical analysis determine the origin of wines. The data is the results of chemical analysis of wines grown in the same region in Italy but derived from three different cultivars. The analysis determined the quantities of 13 constituents found in each of the three types of wines. This dataset is sourced from the UCI Machine Learning Repository.

Attribute information:

  1. Alcohol
  2. Malic acid
  3. Ash
  4. Alcalinity of ash
  5. Magnesium
  6. Total phenols
  7. Flavanoids
  8. Nonflavanoid phenols
  9. Proanthocyanins
  10. Color intensity
  11. Hue
  12. OD280/OD315 of diluted wines
  13. Proline
  14. Predicted value
Sep 22, 2017
Sep 22, 2017
Science & Technology
IBM
AlcoholMalic acidAshAlcalinithy of ashMagnesiumTotal phenolsFlavanoidsNonflavanoid phenolsProanthocyaninsColour intensityHuePD280/OD315 of diluted winesProline
AlcoholMalic acidAshAlcalinithy of ashMagnesiumTotal phenolsFlavanoidsNonflavanoid phenolsProanthocyaninsColour intensityHuePD280/OD315 of diluted winesProline
114.231.712.4315.61272.83.060.282.295.641.043.921065
113.21.782.1411.21002.652.760.261.284.381.053.41050
113.162.362.6718.61012.83.240.32.815.681.033.171185
114.371.952.516.81133.853.490.242.187.80.863.451480
113.242.592.87211182.82.690.391.824.321.042.93735
114.21.762.4515.21123.273.390.341.976.751.052.851450
114.391.872.4514.6962.52.520.31.985.251.023.581290
114.062.152.6117.61212.62.510.311.255.051.063.581295
114.831.642.1714972.82.980.291.985.21.082.851045
113.861.352.2716982.983.150.221.857.221.013.551045
114.12.162.3181052.953.320.222.385.751.253.171510
114.121.482.3216.8952.22.430.261.5751.172.821280
113.751.732.4116892.62.760.291.815.61.152.91320
114.751.732.3911.4913.13.690.432.815.41.252.731150
114.381.872.38121023.33.640.292.967.51.231547
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