PRC

PRC stands for precision–recall curve. It is a method of visualizing the tradeoff between precision and recall. Precision and recall are both model performance metrics , aka cost function, for classification systems.

Precision

In statistics and machine learning, precision is a measure of how often the positives identified by a learning model are true positives. This is a division of true positives (based on the confusion matrix) by all estimated positives (=true positives + false positives). The precision metric is commonly used in conjunction with recall, to evaluate ... Read more

prediction

Prediction is a machine learning task of estimating the state of something in the future based on past or current data. Various AI apps utilize prediction features.

principle of least privilege

The principle of least privilege is a cybersecurity principle by which a user is only given the permissions they need to do their job, and no more than that. For example, joining a Windows Server virtual machine to an Active Directory domain does not necessarily require an admin to be a domain administrator but rather ... Read more

privacy by design

Privacy by design is an approach to software development which takes privacy into account throughout every phase of development. This involves strict cybersecurity design rules embedded into the software development process, including proper unit testing.