Browse Datasets

Abalone

Predict the age of abalone from physical measurements

Online Retail II

A real online retail transaction data set of two years.

Individual Household Electric Power Consumption

Measurements of electric power consumption in one household with a one-minute sampling rate over a period of almost 4 years. Different electrical quantities and some sub-metering values are available.

SMS Spam Collection

The SMS Spam Collection is a public set of SMS labeled messages that have been collected for mobile phone spam research.

Auto MPG

Revised from CMU StatLib library, data concerns city-cycle fuel consumption

CDC Diabetes Health Indicators

The Diabetes Health Indicators Dataset contains healthcare statistics and lifestyle survey information about people in general along with their diagnosis of diabetes. The 35 features consist of some demographics, lab test results, and answers to survey questions for each patient. The target variable for classification is whether a patient has diabetes, is pre-diabetic, or healthy.

Online Shoppers Purchasing Intention Dataset

Of the 12,330 sessions in the dataset, 84.5% (10,422) were negative class samples that did not end with shopping, and the rest (1908) were positive class samples ending with shopping.

Spambase

Classifying Email as Spam or Non-Spam

Diabetes 130-US Hospitals for Years 1999-2008

The dataset represents ten years (1999-2008) of clinical care at 130 US hospitals and integrated delivery networks. Each row concerns hospital records of patients diagnosed with diabetes, who underwent laboratory, medications, and stayed up to 14 days. The goal is to determine the early readmission of the patient within 30 days of discharge. The problem is important for the following reasons. Despite high-quality evidence showing improved clinical outcomes for diabetic patients who receive various preventive and therapeutic interventions, many patients do not receive them. This can be partially attributed to arbitrary diabetes management in hospital environments, which fail to attend to glycemic control. Failure to provide proper diabetes care not only increases the managing costs for the hospitals (as the patients are readmitted) but also impacts the morbidity and mortality of the patients, who may face complications associated with diabetes.

MAGIC Gamma Telescope

Data are MC generated to simulate registration of high energy gamma particles in an atmospheric Cherenkov telescope

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