The PD database consists of training and test files. The training data belongs to 20 PWP (6 female, 14 male) and 20 healthy individuals (10 female, 10 mal…
classification, multivariate, regressionThe original paper demonstrated that it is possible to correctly replicate the experts' binary assessment with approximately 90% accuracy using both 10-fo…
classification, multivariateThis data set contains some training and testing data from a remote sensing study by Johnson et al. (2013) that involved detecting diseased trees in Quick…
classification, multivariateCollect the real time readings for residential,commercial,industrial,agriculure,to find the accuracy consumption in Tamil Nadu Around Thanajvur
classification, clustering, multivariate, regressionThe dataset represents 10 years (1999-2008) of clinical care at 130 US hospitals and integrated delivery networks. It includes over 50 features representi…
classification, clustering, multivariateInstrumentation: The data were collected at a sampling rate of 500 Hz, using as a programming kernel the National Instruments (NI) Labview. The signals we…
classification, time-seriesThis dataset contains features extracted from the Messidor image set to predict whether an image contains signs of diabetic retinopathy or not. All featur…
classification, multivariatePast Usage: (a) Rgnvaldsson, You and Garwicz (2015) 'State of the art prediction of HIV-1 protease cleavage sites', Bioinformatics, vol 31 (8), p…
classification, multivariateThis data set contains training and testing data from a remote sensing study which mapped different forest types based on their spectral characteristics a…
classification, multivariateThe main goal of this data set is providing clean and valid signals for designing cuff-less blood pressure estimation algorithms. The raw electrocardiogra…
classification, multivariate, regression