- Description:
This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to this day. (See Duda & Hart, for example.) The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. One class is linearly separable from the other 2; the latter are NOT linearly separable from each other.
Additional Documentation: Explore on Papers With Code
Source code:
tfds.structured.Iris
Versions:
2.0.0
: New split API (https://tensorflow.org/datasets/splits)2.1.0
(default): Updated broken link
Download size:
3.65 KiB
Dataset size:
7.62 KiB
Auto-cached (documentation): Yes
Splits:
Split | Examples |
---|---|
'train' |
150 |
- Feature structure:
FeaturesDict({
'features': Tensor(shape=(4,), dtype=float32),
'label': ClassLabel(shape=(), dtype=int64, num_classes=3),
})
- Feature documentation:
Feature | Class | Shape | Dtype | Description |
---|---|---|---|---|
FeaturesDict | ||||
features | Tensor | (4,) | float32 | |
label | ClassLabel | int64 |
Supervised keys (See
as_supervised
doc):('features', 'label')
Figure (tfds.show_examples): Not supported.
Examples (tfds.as_dataframe):
- Citation:
@misc{Dua:2019 ,
author = "Dua, Dheeru and Graff, Casey",
year = "2017",
title = "{UCI} Machine Learning Repository",
url = "http://archive.ics.uci.edu/ml",
institution = "University of California, Irvine, School of Information and Computer Sciences"
}