Use Cases

Consumer complaints

Classifying Consumer Finance Complaints into a list of pre-defined classes. Given a new complaint comes in, we want to assign it to one of 12 categories. The sample data in this use case has been downloaded from data.gov. This is an example of text classification; a sample dataset is needed for training our text classification algorithm.

Use this sample dataset to test the specific use case.

Gender Recognition

Perfoming Human Gender Recognition based on profile images. The sample data in this use case has been downloaded from Faces96. This is an example of image classification; a sample dataset is needed for training our image classification algorithm.

Use the sample female and male datasets to test the specific use case.

Driver Fatigue detection

Perfoming Yawning detection for monitoring driver fatigue. The sample data in this use case has been downloaded from the YawDD: A Yawning Detection Dataset. YawDD provides two video datasets of drivers with various facial characteristics, to be used for designing and testing algorithms and models for yawning detection.

Use the sample yawning and not yawning datasets to test the specific use case.

Credit Profile

Perfoming Credit Profiling - classification of people described by a set of attributes as good or bad credit risks. The sample data in this use case has been downloaded from UCI.

Use this sample credit dataset to test the specific use case. It contains 20 attributes. The last column is the class of the person (good/bad risk).

Party affiliation Profiling

Perfoming Party affiliation Profiling. The sample dataset includes votes for each of the U.S. House of Representatives Congressmen on the 16 key votes identified by the CQA. The source is the Congressional Quarterly Almanac, 98th Congress, 2nd session 1984, Volume XL: Congressional Quarterly Inc. Washington, D.C., 1985..

Use this sample vote dataset to test the specific use case. It contains 16 attributes. The last column is the class (party affiliation).

Labor contract Classification

Classifying labor contracts as good or bad based on a set of attributions. The source of the dataset is Collective Barganing Review, montly publication, Labour Canada, Industrial Relations Information Service, Ottawa, Ontario, K1A 0J2, Canada, (819) 997-3117. The data includes all collective agreements reached in the business and personal services sector for locals with at least 500 members (teachers, nurses, university staff, police, etc) in Canada in 87 and first quarter of 88.

Use this sample dataset to test the specific use case. It contains 16 attributes. The last column is the class (good/bad).

Breast Cancer Classification

Classifying people with breast cancer in two categories based on their medical history. The sample data in this use case has been downloaded from figshare.com and was obtained from the University Medical Centre, Institute of Oncology, Ljubljana, Yugoslavia.

Use this sample dataset to test the specific use case. It contains 9 attributes. The last column is the class (no-recurrence-events/recurrence-events).

Diabetes Classification

Classifing patients based on a set of attributes as tested positive or negative to diabetes mellitus. The sample data in this use case is provided by National Institute of Diabetes and Digestive and Kidney Diseases

Use this sample dataset to test the specific use case. It contains 8 attributes. The last column is the class (positive/negative).

Thyroid Disease Classification

The sample data contains Thyroid disease records and was supplied by the Garavan Institute and J. Ross Quinlan, New South Wales Institute, Syndney, Australia.

Use this sample dataset to test the specific use case. It contains 29 attributes. The last column is the class.

Glass Type Classification

Identification of glass type based on chemical analysis. The sample data in this use case has been provided by Central Research Establishment Home Office Forensic Science Service Aldermaston, Reading, Berkshire

Use this sample dataset to test the specific use case. It contains 10 attributes. The last column is the class (type of glass).

Soybean Disease Diagnosis

The sample data in this use case has been provided by International Journal of Policy Analysis and Information Systems, Vol. 4

Use this sample dataset to test the specific use case. It contains 35 attributes. The last column is the class.

Species classification

Classification of iris plant based on the sepal and petal length. The sample data in this use case has been provided by UCI - 1936 - Donated by Michael Marshall

Use this sample dataset to test the specific use case. It contains 4 attributes. The last column is the class (plant species).

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