Feature selection has emerged as a craft, using which we boost the performance of our learning model.Feature or Attribute Selection is a data preprocessing technique, where only the most informative features are considered and given to the predictor.This reduces the computational overhead and improves the correctness of the classifier.Attribute Sel
The main content of federal and regional programs for patriotic education of the citizens of the ORG SPIRULINA Russian Federation is targeted at work with school students, which puts emphasis on the analysis of young people opinion of these programs effectiveness.Basing on the data of the mass survey of senior school students in 10 regions of the S
Although macro issues are integral to social work, students continue to struggle with the acquisition of knowledge and skills pertaining to larger systems.Educators have developed innovative methods to integrate learning across systems of various sizes however it appears an imbalance persists.This challenge is supported by baccalaureate student res
Introduction.Ontologies as knowledgebases have been heavily applied in computational biological studies by implementing into ML models for purposes such as disease-gene associations identification.Method.We conduct FACIAL EXFOLIANT a case study using gene ontology (GO) annotation data and three ML models to replicate the prediction of autism spectr