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Kappa Statistic
ByDavis
Definition of Kappa Statistic Kappa Statistic: Kappa statistic is a statistic used in machine learning and data science that measures the agreement between predicted values and observed values. Kappa statistic is calculated as the average of the absolute agreements (predicting the correct class) minus the average of the absolute disagreements (predicting the wrong class). How…
Universality
ByDavis
Definition of Universality Universality: Universality is the property of being applicable to a class of objects or phenomena. In data science, this means that a model or algorithm can be used to solve a problem for a wide range of data sets. This makes universality an important property for any data science toolkit.
Machine Learning Model
ByDavis
Definition of Machine Learning Model A machine learning model is a representation of the data that is learned by a machine learning algorithm. The model can be used to predict the outcomes of future events, based on the data that is used to train the model. How is Machine Learning Model used? A Machine Learning…
Modeling
ByDavis
Definition of Modeling Modeling: Modeling is the process of creating a mathematical representation of a real world phenomenon. Modeling is a process of using past data to understand and predict future outcomes. It can involve creating mathematical models to represent relationships in the data, or using machine learning techniques to build models from data that…
Feature Engineering
ByDavis
Definition of Feature Engineering Feature Engineering: Feature engineering is the process of transforming raw data into a form that is more amenable to analysis or machine learning. This can involve things like aggregating data, transforming variables, or creating new features from existing variables. Feature engineering is an important part of data science, as it can…