Gain Chart
A Gain Chart is a graphical representation used to measure the performance of classification models by displaying the cumulative gains against the percentage of data processed.
Gaussian Mixture Model
A Gaussian Mixture Model (GMM) is a probabilistic model that represents a mixture of multiple Gaussian distributions, used for clustering and density estimation.
Gaussian Naive Bayes
Gaussian Naive Bayes is a classification algorithm that assumes feature independence and normal distribution of continuous data.
Gaussian Process
A Gaussian Process is a probabilistic model used to describe the behavior of functions in terms of a prior defined by Gaussian distributions.
Generalization
Generalization is the cognitive process of formulating broad concepts by extracting common properties from specific instances.
Generative Model
A Generative Model is a type of artificial intelligence model designed to generate new data instances that resemble a given training dataset.
Gini Impurity
Gini Impurity is a measure of how often a randomly chosen element from a set would be incorrectly labeled if it was randomly labeled according to the distribution of labels in the set.
Global Minimum
A global minimum is the lowest point or value that a function can achieve over its entire domain.
Gradient Boosting Machine
Gradient Boosting Machine is a powerful machine learning technique used for regression and classification tasks by creating a series of decision trees that correct the errors of previous trees.
Grid Search
Grid Search is a systematic method for hyperparameter optimization in machine learning models.
Ground Truth
Ground truth is the accurate and objective data used as a reference to evaluate models or systems in various fields.