Tag: confusion-matrix
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K-means Clustering Algorithm
Table of Contents Definition K-means clustering is an unsupervised machine learning method used to partition a set of observations into k clusters. Unsupervised learning in artificial intelligence is a type of machine learning that learns from data without human supervision. Unlike supervised learning, unsupervised machine learning models are given unlabeled data and allowed to discover patterns and insights…
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SVM(Support Vector Machine)
Table of Contents Definition In machine learning, support vector machines (SVMs, also support vector networks) are supervised max-margin models with associated learning algorithms that analyze data for classification and regression analysis. A support vector is a data point or node lying closest to the decision boundary or hyperplane. These points play a vital role in defining the decision boundary and the margin of…
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Decision Tree
Table of Contents Definition A decision tree is a decision support hierarchical model that uses a tree-like model of decisions and their possible consequences, including chance event outcomes, resource costs, and utility. It is one way to display an algorithm that only contains conditional control statements. A decision tree is a flowchart-like structure in which each internal…
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Logistic Regression
Table of Contents Definition In statistics, the logistic model (or logit model) is a statistical model that models the log-odds of an event as a linear combination of one or more independent variables. In regression analysis, logistic regression (or logit regression) is estimating the parameters of a logistic model (the coefficients in the linear combination). Formally, in…
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