Budoen, A.T., Zhang, M.W. and Edwards Jr., L.Z. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, ...

Using a text classification ... support vector machines, random forests/decision trees, and deep learning models such as LSTM and BERT that also perform well on text classification tasks.

In python, scikit-learn provides the implementation of random forest classifiers and regression. You can easily implement the model using the following code. I have implemented a random forest ...

In conclusion, among Logistic Regression, Decision Tree, Random Forest, AdaBoost, and Support Vector Machine (SVM), the last one has the highest test score of 0.949. This research utilizes relatively ...

So, it does not suffer from the overfitting problem. Random forest classifier can handle the missing values. There are two ways to handle the missing values. First is to use median values to replace ...