Imbalanced binary glass identification

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

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).