Regression
Definition of Regression
Regression: Regression is a technique used to model relationships between variables. It can be used to predict future values based on past values.
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One-hot encoding
ByDavis
Definition of One-hot encoding One-hot encoding: One-hot encoding is a technique used in machine learning to represent categorical variables as a vector of binary values. In one-hot encoding, each category is represented by a unique integer value, and the remaining values are set to 0. For example, if there are three categories, A, B, and…
F-Measure
ByDavis
Definition of F-Measure F-Measure: F-Measure is a statistic used in machine learning to measure the effectiveness of a classification model. It is a harmonic mean of precision and recall, both of which are ratios of correct classifications to total number of classifications. What is an F-Measure used for? F-Measure is an important metric used to…
Latent Dirichlet Allocation
ByDavis
Definition of Latent Dirichlet Allocation Latent Dirichlet Allocation: Latent class analysis (LCA) is a technique used in statistics and data mining for the analysis of categorical data. LCA is a type of cluster analysis that seeks to identify a finite number of unobserved classes (clusters) within a population. The detected classes are latent, meaning they…
Time Series Data
ByDavis
Definition of Time Series Data A time series is a sequential set of data points, typically measured at successive points in time. Time series analysis is the process of analyzing time series data in order to identify patterns and forecast future values. Time series data can be used to measure and predict changes in everything…
Vector Space Model
ByDavis
Definition of Vector Space Model Vector Space Model: A vector space model is a mathematical model used in statistics, data mining, and machine learning to describe a set of objects in terms of their attributes and relationships between them.