This data arises from a large study to examine EEG correlates of genetic predisposition to alcoholism. It contains measurements from 64 electrodes placed …
multivariate, time-seriesThe data was collected from several sources, including the Sanger Centre ([Web Link]) and SWISSPROT ([Web Link]). Structure prediction was made by PROF ([…
relationalDrugs are typically small organic molecules that achieve their desired activity by binding to a target site on a receptor. The first step in the discovery…
classification, multivariateCost Matrix _______ abse pres absence 0 1 presence 5 0 where the rows represent the true values and the columns the predicted.
classification, multivariateMammography is the most effective method for breast cancer screening available today. However, the low positive predictive value of breast biopsy resultin…
classification, multivariateARCENE was obtained by merging three mass-spectrometry datasets to obtain enough training and test data for a benchmark. The original features indicate th…
classification, multivariateThe objective is to determine the set of boolean rules that describe the interactions of the nodes within this plant signaling network. The dataset includ…
causal-discovery, multivariateThis dataset is composed of a range of biomedical voice measurements from 31 people, 23 with Parkinson's disease (PD). Each column in the table is a parti…
classification, multivariateThe data is in the transactional form. It contains the Latin names (species or genus) and state abbreviations.
clustering, multivariate