Cancer Prediction using KNN_classification

Apply KNN algorithm to classify whether cancer is present or not. Implemented Pipeline, GridSearchCV, Elbow method to fit the best model.

Steps invovled

• Import the modules and dependencies.
• Load the dataset.
• Analyse the dataset, get shape and info and check for null values and balance of the dataset.
• Slice the data into features and label.
• Split the data into training dataset and testing dataset.
• Apply feature scaling features of training and testing datasets.
• Apply KNN algorithm with k=1.
• Evaluate the model.
• Improve the model with Full Cross Validation.
  • Use Elbow method to find reasonable k values.
  • Implement full cross validation using GridSearchCV.
  • Create a Pipeline and parameters grid of k values to fit GridSearchCV.
  • Evaluate the final model.

Conclusion

Implemented KNN classification and improved the model with Full Cross Validation using Elbow method,Pipeline and GridSearchCV.