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- W4387271108 abstract "Image classification is the most accurate way to anticipate a classifier’s accuracy. Categorization approaches include logistic regression, K-nearest neighbors, Naive Bayes, decision trees, and support vector machines. Artificial neural networks and convolutional neural networks can also be used for classification. The best classification algorithm is predicted using K-nearest neighbors (KNN) and support vector machines (SVM). The “Cats versus Dogs” dataset and the “Human and Animals” dataset are used to test the accuracy in this research." @default.
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- W4387271108 date "2023-01-01" @default.
- W4387271108 modified "2023-10-03" @default.
- W4387271108 title "SVM Versus KNN: Prediction of Best Image Classifier" @default.
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- W4387271108 doi "https://doi.org/10.1007/978-981-99-4717-1_14" @default.
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