P-Value
P-value is a statistical measure that helps determine the significance of results in hypothesis testing.
Parametric Model
A parametric model is a type of statistical model characterized by a finite set of parameters used to describe a dataset.
Polynomial Regression
Polynomial Regression is a type of regression analysis where the relationship between the independent variable and the dependent variable is modeled as an nth degree polynomial.
Precision
Precision is the degree to which repeated measurements or calculations yield the same or similar results.
Precision-Recall Curve
A Precision-Recall Curve is a graphical representation that shows the trade-off between precision and recall for different threshold settings of a classification model.
Predictor Variable
A predictor variable is an independent variable used in statistical modeling to forecast outcomes.
Pretrained Model
A pretrained model is a machine learning model that has already been trained on a large dataset and can be reused or fine-tuned for new tasks.
Prophet
Prophet is an open-source forecasting tool developed by Facebook to predict time series data trends and patterns.
Pruning
Pruning is the process of removing unnecessary elements from a dataset or structure to improve efficiency and performance.