Types of Decision Models - Group 4 - 2018/2019, Semester B, Quartile 3: Difference between revisions

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= Nearest Neighbour Strategy =
= Nearest Neighbour Strategy =
NearestNeighbour, short NN, is a mathematical decision model. It is a machine learning decision model, in the sense that existing solutions, often denoted as training data, are used for NN to be able to accurately make predictions about new data such as a user which wants a solution for their airport. This decision model can make the choice which solution fits best to the user. Nearest Neighbour is based on the machine learning strategy KNearestNeighbors <ref name = "Brilliant">[https://brilliant.org/wiki/k-nearest-neighbors/ "Brilliant.org"], Retrieved 17 March 2019</ref>.
NearestNeighbour, short NN, is a mathematical decision model. It is a machine learning decision model, in the sense that existing solutions, often denoted as training data, are used for NN to be able to accurately make predictions about new data such as a user which wants a solution for their airport. This decision model can make the choice which solution fits best to the user. Nearest Neighbour is based on the machine learning strategy KNearestNeighbors <ref name = "Brilliant">[https://brilliant.org/wiki/k-nearest-neighbors/ "Brilliant.org: K-nearest Neighbors"], Retrieved 17 March 2019</ref>.


== Picking variables / attributes ==
== Picking variables / attributes ==

Revision as of 14:37, 17 March 2019

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Introduction

In this section, we will investigate some different approaches for decision models. These decision models were investigated, but were chosen not to be the final decision model that we will implement. However, for the sake of completeness of this wiki, we will describe our findings on other decision models in this section.

Nearest Neighbour Strategy

NearestNeighbour, short NN, is a mathematical decision model. It is a machine learning decision model, in the sense that existing solutions, often denoted as training data, are used for NN to be able to accurately make predictions about new data such as a user which wants a solution for their airport. This decision model can make the choice which solution fits best to the user. Nearest Neighbour is based on the machine learning strategy KNearestNeighbors [1].

Picking variables / attributes

In order for Nearest Neighbour to work


Back to the root page.

References

  1. "Brilliant.org: K-nearest Neighbors", Retrieved 17 March 2019