| F1 Score |
A method used to evaluate a model's performance by comparing the number of positive predictions against inaccurate predictions where the final result is represented as a percentage score. |
| Feature Engineering |
The process of preparing and developing meaningful data inputs (features) from raw data to assist a machine learning model in making more accurate predictions. |
| Federated Learning |
A method for training machine learning models on data distributed across multiple devices without moving the data off the devices, hence keeping the data private and secure. |
| Fuzzy Logic |
A method of thinking that deals with uncertainty by letting something to be partly true or partly false rather than totally true or false, which is helpful in situations where things are not clear. |
