SVMCM

SVMCM (Support Vector Machine Classification Model) is a machine learning model designed for classification tasks. It uses the SVM algorithm to find the optimal hyperplane that best separates different classes within the data. SVMCM is effective in handling complex, high-dimensional datasets and is known for its accuracy and ability to work well with both linear and non-linear data. It is commonly used in areas such as pattern recognition, text classification, and image processing.

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