Support Vector Machines is a machine learning algorithm that finds the optimal hyperplane that separates the different classes in the feature space. In this case, the SVM model is trained to classify whether a breast cancer tumor is benign or malignant based on the features of the dataset.
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Support Vector Machines is a machine learning algorithm that finds the optimal hyperplane that separates the different classes in the feature space. In this case, the SVM model is trained to classify whether a breast cancer tumor is benign or malignant based on the features of the dataset.
Heminoid/SVM-using-Cancer-Data
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Support Vector Machines is a machine learning algorithm that finds the optimal hyperplane that separates the different classes in the feature space. In this case, the SVM model is trained to classify whether a breast cancer tumor is benign or malignant based on the features of the dataset.
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