A support vector machine (SVM) is a supervised machine learning model that solves two-group classification problems using classification techniques. They can categorize new text after providing an SVM model with sets of labeled training data for each category.
SVM is a binary classifier based on supervised learning that outperforms other classifiers. SVM distinguishes between two classes by building a high-dimensional feature space hyperplane that can be utilized for classification.
SVM is a supervised machine learning technique that can perform classification, regression, and even outlier detection. A straight line is drawn between two classes by the linear SVM classifier.
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