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breast-cancer-wisconsin

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liliansteven / Breast-Cancer-Diagnosis-KFold-and-RF-with-96-accuracy

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Welcome to my second DS project also my first notebook on kaggle. In this notebook, I explore the Breast Cancer dataset and develop an RF model to try classifying suspected cells as Benign or Malignant. after using K-fold cross-validation with logistic regression, RF, SVM, and KNN to check the best model for my dataset.

data-science machine-learning machine-learning-algorithms kaggle-competition classification logistic-regression breast-cancer-wisconsin svm-classifier kfold-cross-validation knn-classifier rf-classifier
  • Updated Apr 25, 2023
  • Jupyter Notebook

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