It is used to break down complex problems or branches. Each branch of the decision tree could be a possible outcome. Description: The tree structure in the decision model helps in drawing a conclusion ...
Supports computation on CPU and GPU. Machine learning project to predict the success of SpaceX Falcon 9 first stage landings, with the goal of estimating launch costs. It utilizes classification ...
This repository showcases projects from the Data Mining course at UNAM, Mexico. It includes analyses of customer behavior, sales transactions, and a sequence-to-sequence model for text generation ...
Decision trees are flexible enough to handle items with a mixture of real-valued and categorical features, as well as items with some missing features. They are expressive enough to model many ...
Background: The early years of life are critical for gross motor development (GMD). This study utilized decision tree modeling to examine the influences on gross motor development in children under ...
Abstract: As a widely-used machine-learning classifier, a decision tree model can be trained and deployed at a service provider to provide classification services for clients, e.g., remote diagnostics ...
In this blog post, we will delve into the concept of the Accuracy Degradation Factor (ADF) and Accuracy Degradation Profile (ADP) - a metric and an analysis designed to predict model performance ...