K-nearest neighbor and decision tree are two popular machine learning algorithms that can be used for classification and regression tasks. They both have advantages and disadvantages, depending on ...

SVM and kNN exemplify several important trade-offs in machine learning (ML). SVM is often less computationally demanding than kNN and is easier to interpret, but it can identify only a limited set ...

Evaluate various machine learning models (KNN, Decision Tree, SVM, Logistic Regression) ... Produce the overall design (flowchart / sketch/algorithm) of the proposed solution that uses input from the ...

Keywords: obesity risk prediction, machine learning algorithm, overweight, Shapley additive explanation (SHAP) values, CatBoost algorithm. Citation: Lin W, Shi S, Huang H, Wen J and Chen G (2023) ...

Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

2) The isometric mapping dataset was categorized using fuzzy c-means clustering as an unsupervised machine learning approach to reduce the minor spectral heterogeneity impact in homogenous areas. 3) ...

In this project, the K-nearest neighbors algorithm is being used because various prior research have proved that this algorithm gives the best results for this problem of classification of music ...