Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

× Check out the beta version of the new UCI Machine Learning Repository we are currently testing! Contact us if you have any issues, questions, or concerns. Click here to try out the new site.

Browse Through:

Default Task

Classification (35)
Regression (6)
Clustering (7)
Other (0)

Attribute Type - Undo

Categorical (7)
Numerical (36)
Mixed (10)

Data Type

Multivariate (32)
Univariate (2)
Sequential (0)
Time-Series (3)
Text (0)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (36)
Physical Sciences (11)
CS / Engineering (20)
Social Sciences (6)
Business (11)
Game (0)
Other (8)

# Attributes

Less than 10 (9)
10 to 100 (22)
Greater than 100 (5)

# Instances - Undo

Less than 100 (4)
100 to 1000 (36)
Greater than 1000 (27)

Format Type - Undo

Matrix (36)
Non-Matrix (10)

36 Data Sets

Table View  List View


1. Algerian Forest Fires Dataset : The dataset includes 244 instances that regroup a data of two regions of Algeria.

2. Amphibians: The dataset is a multilabel classification problem. The goal is to predict the presence of amphibians species near the water reservoirs based on features obtained from GIS systems and satellite images

3. Arcene: ARCENE's task is to distinguish cancer versus normal patterns from mass-spectrometric data. This is a two-class classification problem with continuous input variables. This dataset is one of 5 datasets of the NIPS 2003 feature selection challenge.

4. Bone marrow transplant: children: The data set describes pediatric patients with several hematologic diseases, who were subject to the unmanipulated allogeneic unrelated donor hematopoietic stem cell transplantation.

5. Breast Cancer Coimbra: Clinical features were observed or measured for 64 patients with breast cancer and 52 healthy controls.

6. Breast Cancer Wisconsin (Diagnostic): Diagnostic Wisconsin Breast Cancer Database

7. Breast Cancer Wisconsin (Original): Original Wisconsin Breast Cancer Database

8. Breast Cancer Wisconsin (Prognostic): Prognostic Wisconsin Breast Cancer Database

9. Breast Tissue: Dataset with electrical impedance measurements of freshly excised tissue samples from the breast.

10. Breath Metabolomics: Breath analysis is a pivotal method for biological phenotyping. In a pilot study, 100 experiments with four subjects have been performed to study the reproducibility of this technique.

11. Cervical cancer (Risk Factors): This dataset focuses on the prediction of indicators/diagnosis of cervical cancer. The features cover demographic information, habits, and historic medical records.

12. Daphnet Freezing of Gait: This dataset contains the annotated readings of 3 acceleration sensors at the hip and leg of Parkinson's disease patients that experience freezing of gait (FoG) during walking tasks.

13. Divorce Predictors data set: Participants completed the “Personal Information Form” and “Divorce Predictors Scale”.

14. Divorce Predictors data set: Participants completed the Personal Information Form and Divorce Predictors Scale.

15. Early biomarkers of Parkinsons disease based on natural connected speech: Predict a pattern of neurodegeneration in the dataset of speech features obtained from patients with early untreated Parkinson’s disease and patients at high risk developing Parkinson’s disease.

16. Ecoli: This data contains protein localization sites

17. Exasens: This repository introduces a novel dataset for the classification of 4 groups of respiratory diseases: Chronic Obstructive Pulmonary Disease (COPD), asthma, infected, and Healthy Controls (HC).

18. Exasens: This repository introduces a novel dataset for the classification of 4 groups of respiratory diseases: Chronic Obstructive Pulmonary Disease (COPD), asthma, infected, and Healthy Controls (HC).

19. extention of Z-Alizadeh sani dataset: It was collected for CAD diagnosis.

20. gene expression cancer RNA-Seq: This collection of data is part of the RNA-Seq (HiSeq) PANCAN data set, it is a random extraction of gene expressions of patients having different types of tumor: BRCA, KIRC, COAD, LUAD and PRAD.

21. Haberman's Survival: Dataset contains cases from study conducted on the survival of patients who had undergone surgery for breast cancer

22. HCC Survival: Hepatocellular Carcinoma dataset (HCC dataset) was collected at a University Hospital in Portugal. It contains real clinical data of 165 patients diagnosed with HCC.

23. HCV data: The data set contains laboratory values of blood donors and Hepatitis C patients and demographic values like age.

24. Heart failure clinical records: This dataset contains the medical records of 299 patients who had heart failure, collected during their follow-up period, where each patient profile has 13 clinical features.

25. Hungarian Chickenpox Cases: A spatio-temporal dataset of weekly chickenpox cases from Hungary. The dataset consists of a county-level adjacency matrix and time series of the county-level reported cases between 2005 and 2015.

26. Iris: Famous database; from Fisher, 1936

27. LSVT Voice Rehabilitation: 126 samples from 14 participants, 309 features. Aim: assess whether voice rehabilitation treatment lead to phonations considered 'acceptable' or 'unacceptable' (binary class classification problem).

28. Mammographic Mass: Discrimination of benign and malignant mammographic masses based on BI-RADS attributes and the patient's age.

29. MicroMass: A dataset to explore machine learning approaches for the identification of microorganisms from mass-spectrometry data.

30. Parkinsons: Oxford Parkinson's Disease Detection Dataset

31. Quality Assessment of Digital Colposcopies: This dataset explores the subjective quality assessment of digital colposcopies.

32. Refractive errors: Effect of life style and genetic on eye refractive errors.

33. seeds: Measurements of geometrical properties of kernels belonging to three different varieties of wheat. A soft X-ray technique and GRAINS package were used to construct all seven, real-valued attributes.

34. Somerville Happiness Survey: A data extract of a non-federal dataset posted here https://catalog.data.gov/dataset/somerville-happiness-survey-responses-2011-2013-2015

35. SPECTF Heart: Data on cardiac Single Proton Emission Computed Tomography (SPECT) images. Each patient classified into two categories: normal and abnormal.

36. Z-Alizadeh Sani: It was collected for CAD diagnosis.


Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML