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we propose the use of a new simple Bayesian classifier (SBND) that quickly learns a Markov boundary of the class variable to a network structure relating class variables and the said boundary.
This 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 particular voice measure, and each row corresponds
The system was design to predict brest cancer using ML algorithms by detecting the seize of the trauma
