The instance in this dataset describes the properties of radar returns from the atmosphere. This is a popular dataset for binary classification. This is a binary classification dataset where the output variable predicted is nominal comprising of two classes. It has 768 instances and 8 numerical attributes plus a class. The patients in this dataset are all females of at least 21 years of age from Pima Indian Heritage. This dataset predicts whether the patient is prone to be diabetic in the next 5 years. The database of this dataset is Pima Indians Diabetes. the patient should not be fitted with contact lenses.Ĭlass Distribution: The instances that are classified into class labels are enlisted below:Ĭlass Distribution: 33.3% for each of 3 classes.the patient should be fitted with soft contact lenses.the patient should be fitted with hard contact lenses. #4) Tear production rate: The values can beĬlass: Three class labels are defined here. #3) Astigmatic: This attribute can take values #2) Spectacle prescription: This attribute can take values: #1) Age of the patient: The attribute age can take values: The database has 24 instances and 4 attributes.Īttributes: All four attributes are nominal. The examples used in this database are complete and noise-free. It was donated by the donor, Benoit Julien in the year 1990.ĭatabase: This database is complete. Let’s take a look at some of these: contact-lens.arffĬontact-lens.arff dataset is a database for fitting contact lenses.
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