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Gaussian discriminant analysis (QDA) was used to predict breast cancer tumors in patients with the Breast Cancer Wisconsin (Diagnostic) dataset, focusing on the average radius and cell texture. The algorithm achieved the following metrics: - Accuracy: 90.06 - Precision: 92.59 - Recall: 79.37
Rafael-Campos-unb/GDA_BreastCancer_predictor
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Gaussian discriminant analysis (QDA) was used to predict breast cancer tumors in patients with the Breast Cancer Wisconsin (Diagnostic) dataset, focusing on the average radius and cell texture. The algorithm achieved the following metrics: - Accuracy: 90.06 - Precision: 92.59 - Recall: 79.37
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