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Arbol de Decisiones: Quiz

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About this activity

Conoce conceptos clave

Created by

GABRIELA SARAI ANDINO SIGUENZA
GABRIELA SARAI ANDINO SIGUENZA
El Salvador

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Arbol de Decisiones: Quiz
 

Arbol de Decisiones: QuizOnline version

Conoce conceptos clave

by GABRIELA SARAI ANDINO SIGUENZA
1

¿Qué representa un nodo hoja en un árbol de decisiones?

2

¿Qué indica un nodo de decisión en un árbol?

3

¿Qué es la ganancia de información?

4

¿Qué mide la entropía en árboles de decisión?

5

¿Qué es overfitting en árboles de decisión?

6

¿Qué técnica reduce la complejidad de un árbol?

7

¿Qué describe mejor un árbol de decisión binario?

8

¿Qué es un nodo raíz?

9

¿Por qué se realiza la validación cruzada en árboles?

10

¿Qué tipo de problema puede resolver un árbol de decisiones?

Explicación

El nodo hoja es donde se llega a una clase o valor final.

Los nodos de decisión aplican pruebas para dirigir a ramas.

La ganancia de información cuantifica la reducción de incertidumbre.

La entropía refleja cuán mezcladas están las clases.

Overfitting ocurre cuando el árbol aprende ruido local.

La poda elimina ramas innecesarias para generalizar mejor.

En árbol binario cada división produce dos ramas.

La raíz es el primer nodo desde donde se expanden ramas.

La validación cruzada evalúa generalización.

Los árboles de decisiones pueden usarse para clasificar o predecir valores continuos.

 
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