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.