Bivariate Analysis is the examination of two sets of data, typically in order to identify any correlations between them. This can be used to inform further analysis, or to gain a better understanding of the data itself.
A coefficient is a number that measures how much one variable changes when another variable changes.
Active Learning is a type of machine learning where the algorithm actively chooses which data points to use in order to learn from.
Definition of Decision Tree Decision Tree: A decision tree is a graphical representation of a decision process, used to help explain the logic of a decision. The tree has nodes, which represent choices, and branches, which represent the possible outcomes of each choice. The leaves of the tree represent the end results of the decision…
Definition of Network Analysis Network Analysis: Network analysis is the process of studying relationships between entities in a network. Network analysis can be used to understand how information flows through a network, or to identify important nodes in a network.
Definition of Entropy Entropy: Entropy is a measure of the unpredictability of a system. In information theory, entropy ( ) is a measure of the uncertainty associated with a random variable. Entropy is defined as the average amount of information that is not known about the value of a random variable. When is Entropy used?…
Definition of Shapiro-Wilk Test Shapiro-Wilk Test: A Shapiro-Wilk Test is a method used to determine whether a set of data follows a normal distribution. The test is named after its creators, Maurice Shapiro and Abraham Wilk.