chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,25 @@
|
||||
Sebastian Raschka, 2015
|
||||
|
||||
# Python Machine Learning - Supplementary Datasets
|
||||
|
||||
## Iris Flower Dataset
|
||||
|
||||
- Used in chapters 1, 2, and 3
|
||||
|
||||
The Iris dataset for classification.
|
||||
|
||||
**Features**
|
||||
|
||||
1. Sepal length
|
||||
2. Sepal width
|
||||
3. Petal length
|
||||
4. Petal width
|
||||
|
||||
- Number of samples: 150
|
||||
|
||||
- Target variable (discrete): {50x Setosa, 50x Versicolor, 50x Virginica}
|
||||
|
||||
### References
|
||||
|
||||
- Source: [https://archive.ics.uci.edu/ml/datasets/Iris](https://archive.ics.uci.edu/ml/datasets/Iris)
|
||||
- Bache, K. & Lichman, M. (2013). UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science.
|
||||
Reference in New Issue
Block a user