/Breast-cancer-dataset-classification-

The objective of the project was to build various models and compare their prediction performance based on accuracy.

Primary LanguageJupyter Notebook

Breast cancer dataset classification

Project summary:

  • The objective of the project was to build various models and compare their prediction performance based on accuracy.
  • Built models trained on logistic regression, SVM, KNN, and random forest.
  • By comparing the prediction accuracy of these models, it was found that model trained on logistic regression performed the best in classifying the dataset.
  • Tools used: Jupyter notebook
  • Language: Python 3
  • The dataset was imported from the scikit-learn package.