glass0: Imbalanced binary glass identification

In ncordon/imbalance: Preprocessing Algorithms for Imbalanced Datasets

Description

Imbalanced binary classification dataset containing variables to identify types of glass.

Usage

glass0

Format

A data frame with 214 instances, 70 of which belong to positve class, and 10 variables:

RI

Refractive Index. Continuous attribute.

Na

Sodium, weight percent in component. Continuous attribute.

Mg

Magnesium, weight percent in component. Continuous attribute.

Al

Aluminum, weight percent in component. Continuous attribute.

Si

Silicon, weight percent in component. Continuous attribute.

K

Potasium, weight percent in component. Continuous attribute.

Ca

Calcium, weight percent in component. Continuous attribute.

Ba

Barium, weight percent in component. Continuous attribute.

Fe

Iron, weight percent in component. Continuous attribute.

Class

Two possible glass types: positive (building windows, float processed) and negative (the rest).

Source

KEEL Repository.

See Also

Original available in UCI ML Repository.

ncordon/imbalance documentation built on Dec. 25, 2019, 10:06 p.m.