![]() This model can be programmed to give threshold values to determine a model's accuracy. Data is mapped through supervised learning, similar to the ways in which the human brain is interconnected. These nodes are comprised of inputs, weights, and an output. Neural networks process data through the use of nodes.This non-parametric, supervised technique is used to predict the features of a group based on individual data points. The basis for KNN is rooted in the assumption that data points that are close to each other are more similar to each other than other bits of data. K-Nearest neighbor (KNN) is an algorithm that classifies data based on its proximity to other data.Sometimes depicted as a tree-like visual, a decision tree allows for specific direction and user input when drilling deeper into the data. A decision tree is used to ask for the input of a series of cascading questions that sort the dataset based on the responses given. Decision trees are used to classify or predict an outcome based on a set list of criteria or decisions.While classification may result in groups such as "shampoo," "conditioner," "soap," and "toothpaste," clustering may identify groups such as "hair care" and "dental health." However, clustering identifies similarities between objects, then groups those items based on what makes them different from other items. Clustering is similar to classification.This data mining technique allows the underlying data to be more neatly categorized and summarized across similar features or product lines. These classes describe the characteristics of items or represent what the data points have in common with each. Classification uses predefined classes to assign to objects.For example, association rules would search a company's sales history to see which products are most commonly purchased together with this information, stores can plan, promote, and forecast. This relationship in itself creates additional value within the data set as it strives to link pieces of data. Association rules, also referred to as market basket analysis, search for relationships between variables.
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