How can I improve the precision of my machine learning model in Python?

How can I improve the precision of my machine learning model in Python?

To improve precision, you can try techniques like feature selection, hyperparameter tuning, and using different algorithms.

What is feature selection and how does it help?

Feature selection involves choosing the most relevant features for your model, which can reduce overfitting and improve precision.

Can you suggest some algorithms that are good for precision?

Sure! Algorithms like Random Forest, Gradient Boosting, and Support Vector Machines often yield high precision.

How do I perform hyperparameter tuning?

You can use techniques like Grid Search or Random Search with cross-validation to find the best hyperparameters for your model.