Sebastian Raschka, 2015

Python Machine Learning - Supplementary Datasets

Wine Dataset

• Used in chapters 4 and 5

The Wine dataset for classification.

Samples	178
Features	13
Classes	3
Data Set Characteristics:	Multivariate
Attribute Characteristics:	Integer, Real
Associated Tasks:	Classification
Missing Values	None

column	attribute
1)	Class Label
2)	Alcohol
3)	Malic acid
4)	Ash
5)	Alcalinity of ash
6)	Magnesium
7)	Total phenols
8)	Flavanoids
9)	Nonflavanoid phenols
10)	Proanthocyanins
11)	intensity
12)	Hue
13)	OD280/OD315 of diluted wines
14)	Proline

class	samples
0	59
1	71
2	48

References

• Forina, M. et al, PARVUS - An Extendible Package for Data Exploration, Classification and Correlation. Institute of Pharmaceutical and Food Analysis and Technologies, Via Brigata Salerno, 16147 Genoa, Italy.
• Source: https://archive.ics.uci.edu/ml/datasets/Wine
• Bache, K. & Lichman, M. (2013). UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science.