Classification Tasks Solving with Machine Learning Methods

Abstract

The subject of analysis and research is data in the field of medical oncology through machine learning methods. The types of classification in machine learning are presented, and three methods are described - K-Nearest Neighbors, Naive Bayes Classifier, Support Vector Machines. Two classification tasks in the field of medicine have been formulated, implemented, and researched. Classifiers are created and trained with the methods KNN, SVM, and NBC. The solved classification tasks aim to support patients and clinical psycho-oncologists.