Below are some examples of classification algorithms used in AI and machine learning. Binary Logistic Regression Binary logistic regression can predict a binary outcome, such as Yes/No or Pass/Fail.

The performance of regression methods for selecting the best individuals was compared with that of three supervised classification algorithms: Random Forest Classification (RFC) and Support Vector ...

The earlier AdaBoost.R algorithm was a suggestion in the original 1995 AdaBoost binary classification research paper by Y. Freund and R. Schapire, ... The AdaBoost.R2 regression algorithm has not ...

Common regression techniques include multiple linear regression, tree-based regression (decision tree, AdaBoost, random forest, bagging), neural network regression, and k-nearest neighbors (k-NN) ...

Deep learning algorithms can support the classification of skin lesions by fusing all the information together and evaluating it. Several such algorithms are already being developed.

A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams. Authors: ... Our central finding is that LR ...