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


Repository Web            Google
View ALL Data Sets

Browse Through:

Default Task - Undo

Classification (47)
Regression (11)
Clustering (10)
Other (0)

Attribute Type - Undo

Categorical (10)
Numerical (47)
Mixed (12)

Data Type

Multivariate (40)
Univariate (4)
Sequential (1)
Time-Series (7)
Text (3)
Domain-Theory (0)
Other (0)

Area - Undo

Life Sciences (47)
Physical Sciences (22)
CS / Engineering (75)
Social Sciences (3)
Business (14)
Game (0)
Other (20)

# Attributes

Less than 10 (14)
10 to 100 (23)
Greater than 100 (9)

# Instances

Less than 100 (3)
100 to 1000 (24)
Greater than 1000 (19)

Format Type - Undo

Matrix (47)
Non-Matrix (16)

47 Data Sets

Table View  List View


1. Anuran Calls (MFCCs): Acoustic features extracted from syllables of anuran (frogs) calls, including the family, the genus, and the species labels (multilabel).

2. 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.

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

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

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

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

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

8. Caesarian Section Classification Dataset: This dataset contains information about caesarian section results of 80 pregnant women with the most important characteristics of delivery problems in the medical field.

9. Cardiotocography: The dataset consists of measurements of fetal heart rate (FHR) and uterine contraction (UC) features on cardiotocograms classified by expert obstetricians.

10. 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.

11. Cryotherapy Dataset : This dataset contains information about wart treatment results of 90 patients using cryotherapy.

12. Cuff-Less Blood Pressure Estimation: This Data set provides preprocessed and cleaned vital signals which can be used in designing algorithms for cuff-less estimation of the blood pressure.

13. 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.

14. Diabetes 130-US hospitals for years 1999-2008: This data has been prepared to analyze factors related to readmission as well as other outcomes pertaining to patients with diabetes.

15. Dorothea: DOROTHEA is a drug discovery dataset. Chemical compounds represented by structural molecular features must be classified as active (binding to thrombin) or inactive. This is one of 5 datasets of the NIPS 2003 feature selection challenge.

16. Drug Review Dataset (Drugs.com): The dataset provides patient reviews on specific drugs along with related conditions and a 10 star patient rating reflecting overall patient satisfaction.

17. Early biomarkers of Parkinson’s 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.

18. Ecoli: This data contains protein localization sites

19. EEG Eye State: The data set consists of 14 EEG values and a value indicating the eye state.

20. EEG Steady-State Visual Evoked Potential Signals: This database consists on 30 subjects performing Brain Computer Interface for Steady State Visual Evoked Potentials (BCI-SSVEP).

21. EMG data for gestures: These are files of raw EMG data recorded by MYO Thalmic bracelet

22. Epileptic Seizure Recognition: This dataset is a pre-processed and re-structured/reshaped version of a very commonly used dataset featuring epileptic seizure detection.

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

24. 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.

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

26. 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.

27. Iris: Famous database; from Fisher, 1936

28. KEGG Metabolic Reaction Network (Undirected): KEGG Metabolic pathways modeled as un-directed reaction network. Variety of graphical features presented.

29. KEGG Metabolic Relation Network (Directed): KEGG Metabolic pathways modeled as directed relation network. Variety of graphical features presented.

30. 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).

31. Lung Cancer: Lung cancer data; no attribute definitions

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

33. Mice Protein Expression: Expression levels of 77 proteins measured in the cerebral cortex of 8 classes of control and Down syndrome mice exposed to context fear conditioning, a task used to assess associative learning.

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

35. p53 Mutants: The goal is to model mutant p53 transcriptional activity (active vs inactive) based on data extracted from biophysical simulations.

36. Parkinson Speech Dataset with Multiple Types of Sound Recordings: The training data belongs to 20 Parkinson's Disease (PD) patients and 20 healthy subjects. From all subjects, multiple types of sound recordings (26) are taken.

37. Parkinsons: Oxford Parkinson's Disease Detection Dataset

38. PubChem Bioassay Data: These highly imbalanced bioassay datasets are from the differing types of screening that can be performed using HTS technology. 21 datasets were created from 12 bioassays.

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

40. 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.

41. sEMG for Basic Hand movements: The “sEMG for Basic Hand movements” includes 2 databases of surface electromyographic signals of 6 hand movements using Delsys' EMG System. Healthy subjects conducted six daily life grasps.

42. Smartphone-Based Recognition of Human Activities and Postural Transitions: Activity recognition data set built from the recordings of 30 subjects performing basic activities and postural transitions while carrying a waist-mounted smartphone with embedded inertial sensors.

43. 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

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

45. Tamilnadu Electricity Board Hourly Readings: This data can be effectively produced the result to fewer parameter of the Load profile can be reduced in the Database

46. Yeast: Predicting the Cellular Localization Sites of Proteins

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


Supported By:

 In Collaboration With:

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