yeast4: Imbalanced binary yeast protein localization sites
In imbalance: Preprocessing Algorithms for Imbalanced Datasets

Imbalanced binary dataset containing protein traits for predicting their cellular localization sites.

yeast4

A data frame with 1484 instances, 51 of which belong to positive class, and 9 variables:

Mcg: McGeoch's method for signal sequence recognition. Continuous attribute.
Gvh: Von Heijne's method for signal sequence recognition. Continuous attribute.
Alm: Score of the ALOM membrane spanning region prediction program. Continuous attribute.
Mit: Score of discriminant analysis of the amino acid content of the N-terminal region (20 residues long) of mitochondrial and non-mitochondrial proteins. Continuous attribute.
Erl: Presence of "HDEL" substring (thought to act as a signal for retention in the endoplasmic reticulum lumen). Binary attribute. Discrete attribute.
Pox: Peroxisomal targeting signal in the C-terminus. Continuous attribute.
Vac: Score of discriminant analysis of the amino acid content of vacuolar and extracellular proteins. Continuous attribute.
Nuc: Score of discriminant analysis of nuclear localization signals of nuclear and non-nuclear proteins. Continuous attribute.
Class: Two possible classes: positive (membrane protein, uncleaved signal), negative (rest of localizations).