A naive Bayes classifier is a machine learning algorithm that relies on the assumption that the features of a given object are independent of each other. This algorithm is often used for text classification tasks, such as sorting email into spam and non-spam folders.
Definition of Interactive Interactive: Interactive refers to a mode of data analysis that allows the user to make changes to the data and see the results immediately. This is in contrast to a more traditional mode of data analysis, where the user makes changes to a model and then observes the results. What are the…
A binomial distribution is a statistical distribution that gives the probability of a certain number of successes in a series of n independent Bernoulli trials.
Clustering: Clustering is a technique used in data science to group similar items together. This can be useful for organizing data and understanding relationships between different groups of data.
Definition of Natural Language Processing (NPL) Natural Language Processing (NPL): Natural language processing (NLP) is a field of computer science and linguistics that deals with the interaction between computers and human languages, and with the development of software that can understand natural language.
Definition of G-Model G-Model: The G-Model is a data science model that is used to predict future events. It can be used to predict the behavior of customers, the sales of products, or the outcome of elections. What is a G-Model used for? A G-Model is a type of supervised machine learning algorithm used to…
Definition of Lift Lift is a measure of how much a model predicts the value of a target variable relative to the prediction of the same target variable by a random guess. Lift is often used as a measure of how good a model is at discriminating between different groups. How is Lift used? Lift…