The "Optimized stacked ensembles technique in the prediction of cervical cancer " explores a new way to predict cervical cancer. They combine different models to improve accuracy, and they use a method called "feature selection" to choose the most important factors. The study achieves promising results by optimizing features and using an approach that helps explain how the model works.
README:
Install Necessary Modules:
Open your Anaconda Prompt and type and run the following command (individually):
pip install pandas
pip install numpy
pip install seaborn
pip install plotly
pip install jupyterthemes
pip install seaborn
pip install --upgrade pip
pip install xgboost
Once Installed now we can import it inside our python code.
The "Optimized stacked ensembles technique in the prediction of cervical cancer " explores a new way to predict cervical cancer. They combine different models to improve accuracy, and they use a method called "feature selection" to choose the most important factors. The study achieves promising results by optimizing features and using an approach that helps explain how the model works.
README:
Install Necessary Modules:
Open your Anaconda Prompt and type and run the following command (individually):
Once Installed now we can import it inside our python code.