A famous dataset from R.A. Fisher (1936) simplified to predict only the virginica class (i.e., as a binary classification problem).
iris.vA data frame containing 150 rows and 4 columns.
sepal length in cm
sepal width in cm
petal length in cm
petal width in cm
Criterion: Does an iris belong to the class "virginica"?
Values: TRUE vs. FALSE (33.33% vs.66.67%).
To improve usability, we made the following changes:
The criterion was binarized from a factor variable with three levels
(Iris-setosa, Iris-versicolor, Iris-virginica),
into a logical variable (i.e., TRUE for all instances of Iris-virginica
and FALSE for the two other levels).
Other than that, the data remains consistent with the original dataset.
Fisher, R.A. (1936): The use of multiple measurements in taxonomic problems. Annual Eugenics, 7, Part II, pp. 179--188.
Other datasets:
blood,
breastcancer,
car,
contraceptive,
creditapproval,
fertility,
forestfires,
heart.cost,
heart.test,
heart.train,
heartdisease,
mushrooms,
sonar,
titanic,
voting,
wine