I am using 5g dual connectivity network dataset which consists of training samples and labels and then SVM-SMO get trained on that dataset and trained SVM-SMO model can be applied on new request for ...

3: SVM. Originated in 1963, Support Vector Machine (SVM) is a core algorithm that crops up frequently in new research. Under SVM, vectors map the relative disposition of data points in a dataset, ...

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 ...

Outcome measure Seven classification algorithms were used in this study: logistic regression, decision tree classifier, random forest classifier (RF), support vector machine, K-nearest neighbour, ...