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## 💥 Proposal
I would want to:
- Improve the accuracy of models.
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Implementation of Naive bayes to identify Malignant or Benign
Goal: have high accuracy, besides high precision and recall metrics.
Comment down below if you are a GSSoc'22 participant and would …
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XGBoost is an algorithm that has recently been dominating applied machine learning and Kaggle competitions for structured or tabular data, so may be in case of breast cancer prediction it can give be…
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First of all, thank you for providing such an exciting utility.
In the code, the base score is assumed to be in the logit scale (for example, when defining `tree_leafs` in `XGBScorecardConstructor.…
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Search on test for what may treat breast cancer: https://ui.test.transltr.io/main/results?l=Breast%20Cancer&i=MONDO:0007254&t=0&r=0&q=a6d28087-f193-441c-ade3-26b04fdd0dd1
Get Doxyrubicin as a resu…
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Breast Cancer diagnosis is one of the most studied problems in the medical domain. Cancer diagnosis has been studied extensively, which instantiates the need for early prediction of cancer disease. To…
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Hello,
Thank you for the amazing tool. It works really good. I have 2 particular questions.
I have 2 big datasets, primary lung adenocarcinoma tumor and brain metastasis of lung adenocarcinoma.
Th…
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Dear Marvin,
I would like to use your tcga_segmentation tool for tumor tissue prediction of primary breast cancer. I have finished the preprocessing step without any issues. I used the following co…
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## Description
Probably this is not a bug. I'm trying to understand how `shuffle_models()` works based on [this](https://github.com/microsoft/LightGBM/issues/1815) and [this](https://github.com/m…