![]() ![]() What Are Real-valued And Nominal Attributes Let us now see how to identify real-valued and nominal attributes in the dataset using WEKA explorer. The popular datasets present in the directory are Longley economic dataset (longley.arff), Boston house price dataset (housing.arff), and sleep in mammals data set (sleep.arff). The downloaded file will create a numeric/directory with regression datasets in. It has 37 regression problems obtained from different sources. The regression datasets can be downloaded from the WEKA webpage “ Collections of datasets”. The received signals are processed by the autocorrelation function taking time pulse and pulse number as arguments. The class attribute is “good” or “bad” which is predicted based on 34 attributes observation. It has 34 numerical attributes and a class. It is used to predict whether the ionosphere has some structure or not. 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.
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