| ITI əməkdaşlarının elmi işləri - tezis |
| Biblioqrafik təsvir | |
| Mamedova , M.H. Selecting a machine learning algorithm for the prediction of hepatocellular carcinoma with the determination of key indicators / M.H. Mamedova , Z.G. Jabrayilova , L. Garayeva // 5th International Conference on Problems of Cybernetics and Informatics. . - Baki, 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 |
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