It have 5 instances among those 5 instances 4 are numeric. Each instance describes the properties of an observed flower measurements and the output variable is specific iris species. The attributes for this dataset can be summarized as follows:
- Sepal length in centimeters.
- Sepal width in centimeters.
- Petal length in centimeters.
- Petal width in centimeters.
- Class.
This is a multiclass classification problem, meaning that there are more than two classes to be predicted, in fact there are three flower species.
- Python 2.7
- Tensorflow
- Keras
- numpy
- matplotlib
- pandas
- jupyter notebook
You can download the iris flowers dataset from the UCI Machine Learning repository and place it in your current working directory with the filename iris.csv. You can learn more about the iris flower classification dataset on the UCI Machine Learning Repository page.