In data mining, machine learning and / or data science, in terms of tree analysis, there are two main approaches: decision trees and regression trees. In both cases trees are predictive methods of segmentation, known as classification trees. They are sequential partitions of the data set made to maximize the differences of the dependent variable given that a division of the cases into groups is carried out. Through different indexes and statistical procedures, the most discriminating division among the selected criteria is determined, the one that makes it possible to better differentiate the different groups from the base criterion, thus obtaining a first segmentation. From that first segmentation, new segmentations are made of each of the resulting segments and so on until the process ends with some statistical rule.
All Posts by Jacob Avila Camacho
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Simple Linear Regression with Python
Regresión Lineal con Python Introducción a la Regresión Lineal La regresión lineal es uno de …
Pre-processing data with Python
Pre-procesamiento de datos Hoy en día disponemos de una gran cantidad de datos generados por …
Database Design - Part 1
Diseño de Bases de Datos – Parte 1 Cuando hablamos de temas acordes al modelo …
Design of Databases - Part 2
Diseño de Bases de Datos – Parte 2 Diseño de tablas y sus relaciones En …
Database Design - Part 3
Diseño de Bases de Datos – Parte 3 En la segunda parte del artículo finalizamos …
Database Design - Part 4
Diseño de Bases de Datos – Parte 4 En el artículo anterior concluimos definiendo la …