Selecting a Machine Learning Algorithm for the Prediction of Hepatocellular Carcinoma with the Determination of Key Indicators

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.