There are many machine learning algorithms that can be used for regression tasks. Some of them are: Linear Regression Decision Tree Regressor K Nearest Neighbor Regressor Random Forest Regressor Neural Networks Image Source: https://static.javatpoint.com/tutorial/machine-learning/images/regression-vs-...
Illustration of KNN technique (adapted from JavaTpoint). 3.2. Advantages of the Classifiers Using an ML Technique Each type of classifier used as an ML technique can be evaluated as having some advantages and disadvantages to be used as a future predictor; for example, ANN has the advantages ...
Source: Javatpoint Since this data is linearly distinct, the algorithm applied is known as a linear SVM, and the classifier it produces is the SVM classifier. This algorithm is effective for both classification and regression analysis problems. 2. Non-linear or kernel SVMs When data is not ...
https://www.javatpoint.com/machine-learning-random-forest-algorithm Google Scholar [11] N. Deo Graph Theory with Applications to Engineering and Computer Science Courier Dover Publications (2017) Google Scholar [12] A. Solairaju, C.V. Ragavan Edge magic combinations of spiders Int. J. Fuzzy...
Performance Metrics in Machine Learning Javatpoint. Available online: https://www.javatpoint.com/performance-metrics-in-machine-learning (accessed on 10 August 2024). Sheth, V.; Tripathi, U.; Sharma, A. A Comparative Analysis of Machine Learning Algorithms for Classification Purpose. Procedia Com...