TSC1 and nervous system disorder: Herein, we investigate genotypic prediction from long-term EEG signals of freely behaving mice belonging to six groups defined by the presence or absence of a neurological disease-genotype (<i>TSC1</i>gene knockout) in three different inbred strains with distinct genetic backgrounds.<i>Approach.</i>We propose a machine learning approach to predict the genotypes of individual mice from the occurrence counts of waveforms that approximate short windows of the EEG.