% @manual{scikit_classifier_comparison, % author = "scikit-learn", % title = "Classifier Comparison", % url = "https://scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html", % urldate = "2024-10-05" % } @manual{scikit_randomforestclassifier, author = "scikit-learn Documentation", title = "\texttt{RandomForestClassifier} API Reference", url = "https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html", urldate = "2024-10-06" } @manual{scikit_svc, author = "scikit-learn Documentation", title = "\texttt{SVC} API Reference", url = "https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html#sklearn.svm.SVC", urldate = "2024-10-06" } @manual{scikit_svm, author = "scikit-learn Documentation", title = "Support Vector Machines", url = "https://scikit-learn.org/stable/modules/svm.html", urldate = "2024-10-06" } @manual{scikit_kernel, author = "scikit-learn Documentation", title = "Plot classification boundaries with different SVM Kernels", url = "https://scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html#sphx-glr-auto-examples-svm-plot-svm-kernels-py", urldate = "2024-10-06" } @online{geekkernel, author = "GeeksforGeeks", title = "How to Choose the Best Kernel Function for SVMs", url = "https://www.geeksforgeeks.org/how-to-choose-the-best-kernel-function-for-svms/", urldate = "2024-10-06" } @online{ibm_randomforest, author = "IBM", title = "What is random forest?", url = "https://www.ibm.com/topics/random-forest", urldate = "2024-10-06" } @online{ibm_svm, author = "IBM", title = "What are support vector machines (SVMs)?", url = "https://www.ibm.com/topics/support-vector-machine", urldate = "2024-10-06" } @online{gandhiSVM, author = "Rohith Gandhi", title = "Support Vector Machine — Introduction to Machine Learning Algorithms", url = "https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47", urldate = "2024-10-06" } @book{understandingML, title = "Understanding Machine Learning: From Theory to Algorithms", author = "Shalev-Shwartz, Shai and Ben-David, Shai", year = "2014", publisher = "Cambridge University Press", % url = "https://www.cs.huji.ac.il/~shais/UnderstandingMachineLearning/copy.html" } @online{scikit_ensembles, author = "scikit-learn Documentation", title = "Ensembles: Gradient boosting, random forests, bagging, voting, stacking", url = "https://scikit-learn.org/stable/modules/ensemble.html", urldate = "2024-10-06" } @article{breiman, author = "Breiman, Leo", title = "Random Forests", journal = "Machine Learning", year = "2001", volume = "45", page = "5-32", }