data

Datasets

In this folder, we have all of the datasets we managed to find online. This folder is further subdivided into two folders: classification and regression.

The classification folder has the next datasets:

• Heart: heart.dat (Link)
• Breast cancer: dataset_13_breast-cancer.arff (Link)
• Haberman: haberman.data (Link)
• Ionosphere: ionoshpere.data (Link)
• Diabetes: diabetes.csv (Link)
• German credit: SouthGermanCredit.asc (Link)
• Juvenile: juvenile.xpt (Link)
• Recidivism: compas-scores-two-years.csv (Link)

The regression folder has the next datasets:

• Geographical music: geographical_music.tsv (Link)
• Red wine: winequality-red.csv (Link)
• Abalone: abalone.data (Link)
• Satellite image: satellite_image.tsv (Link)
• CA housing: ca_housing.data (Link)

Python package scikit-learn was used for the next three regression datasets:

• Friedman1: sklearn.datasets.make_friedman1() (Link)
• Friedman3: sklearn.datasets.make_friedman3() (Link)
• Diabetes: sklearn.datasets.load_diabetes() (Link)