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Breast image classification using deep learning #113
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Hi there, unfortunately, there is no one-size-fits-all solution. Often, the biggest improvement can be made by improving the dataset (collecting more samples, cleaning the data, etc.). Then, algorithm selection and hyperparameter tuning. |
Thanks alot
…On Sun, Jun 30, 2024, 1:08 PM Sebastian Raschka ***@***.***> wrote:
Hi there,
unfortunately, there is no one-size-fits-all solution. Often, the biggest
improvement can be made by improving the dataset (collecting more samples,
cleaning the data, etc.). Then, algorithm selection and hyperparameter
tuning.
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Good evening. My code snipped for classifying breast cancer image is not generalizing well. How do I improve the model performance to produce "accuracy, precision and recall" of over 98%
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