Statements (32)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:dataset
|
| gptkbp:alsoKnownAs |
Fisher's Iris data
|
| gptkbp:availableOn |
UCI Machine Learning Repository
scikit-learn datasets |
| gptkbp:class |
gptkb:Iris_setosa
gptkb:Iris_versicolor gptkb:Iris_virginica |
| gptkbp:countryOfOrigin |
gptkb:United_Kingdom
|
| gptkbp:creator |
gptkb:Ronald_Fisher
|
| gptkbp:feature |
petal length
petal width sepal length sepal width |
| https://www.w3.org/2000/01/rdf-schema#label |
Iris dataset
|
| gptkbp:label |
gptkb:species
|
| gptkbp:license |
public domain
|
| gptkbp:numberOfFeatures |
4
|
| gptkbp:numberOfSamples |
150
|
| gptkbp:numberOfStudents |
3
|
| gptkbp:openAccess |
true
|
| gptkbp:publishedIn |
gptkb:Annals_of_Eugenics
The use of multiple measurements in taxonomic problems |
| gptkbp:samplesPerClass |
50
|
| gptkbp:type |
quantitative
categorical multivariate |
| gptkbp:usedFor |
gptkb:machine_learning
statistics pattern recognition |
| gptkbp:yearCreated |
1936
|
| gptkbp:bfsParent |
gptkb:Naive_Bayes
|
| gptkbp:bfsLayer |
7
|