Menyu
ITI
əməkdaslarının elmi isləri
Elektron kitabxana
Konfranslar İnformasiya Sistemi
Qəzetlər
UOT 004
|
ITI əməkdaşlarının elmi işləri - tezis |
Biblioqrafik təsvir | Mammadova , M.H. Selecting a machine learning algorithm for the prediction of hepatocellular carcinoma with the determination of key indicators / M.H. Mammadova , Z.G. Jabrayilova , L. Garayeva // 5th International Conference on Problems of Cybernetics and Informatics. . - Baku, 2023. - P. 1-4. | Annotasiya | Hepatocellular carcinoma, also known as liver cancer, is characterized by a large number of several types of indications. The HCC Dataset, data visualization and GridSearchCV hyper-parameter on the Kaggle website are used to determine the most important indicators. Using Logistic Regression, Support Vector Machine, K-nearest neighborhood, Naive Bayes and Random Forest machine learning algorithms, the method with the best prediction results is selected. | | Elektron variant | Elektron variant |
|
________
© ict.az http://ict.az/az
|
|