Abstract:
An approach to solving the problem of constructing machine learning models in solving data classification problems
is proposed. Using the example of analyzing biomedical data sets, the performance of machine learning algorithms tuned using
pre-optimized hyperparameters is compared. The best values of hyperparameters that provide effective prediction were found
for the most common machine learning algorithms.
Keywords:machine learning, data classification, hyperparameter optimization, big data processing, disease prediction.