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Comparative Analysis of Different Machine Learning Classification Algorithms for Breast Cancer Prediction

This is a Python- based implementation of Different Classification Algorithms on the task of Breast Cancer Prediction using Machine Learning.

Language and Libraries

Seaborn scikit_learn Seaborn numpy cplusplus Seaborn

About Dataset:

Breast Cancer Data Set from UCI ML Repository

The dataset is related to breast cancer and consists of 569 rows and 33 columns.

Classifiers Used:

  1. Logistic Regression

  2. Decision Tree Classifier

  3. Random Forest Classifier

  4. K-Nearest Neighbors

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