/Machine-Learning---Automated-Machine-Learning-TPOT

Add better insight into the use of AutoML for certain datasets, especially Breast Cancer Wisconsin (Diagnostic). In addition, it is expected to provide an understanding of the weaknesses and shortcomings of the selected use of AutoML, namely the Tree-Based Pipeline Optimization Tool (TPOT) for modeling automation.

Primary LanguageJupyter Notebook

Machine-Learning---Automated-Machine-Learning-TPOT

Add better insight into the use of AutoML for certain datasets, especially Breast Cancer Wisconsin (Diagnostic). In addition, it is expected to provide an understanding of the weaknesses and shortcomings of the selected use of AutoML, namely the Tree-Based Pipeline Optimization Tool (TPOT) for modeling automation.

#If you want to run the code

  1. Copy the csv files
  2. Update the file paths in your IPython Notebook
  3. Launch Jupyter Notebook
  4. Access the IPython Notebook
  5. Run the IPython Notebook cells