Classification problem with 2 categories, comparison between the highly optimized Sk-Learn SVM implementation and my custom implementation ... Fold 1/10 for kernel 'sigmoid'... Fold 2/10 for kernel ...

Nowadays, many classification algorithms are used to detect the community, but its accuracy can't meet the requirements. SVM, which is related to statistical learning theory and has a series of ...

This research paper employs a comprehensive strategy, merging traditional machine learning models (including KNN and SVM) with state-of-the-art feature extraction methods such as PCA, HOG, and VGG16 ...