Mar 5, 2025 · pyDecision offers an array of features, including the comparison of ranking alternatives and comparison of criterion weights from various methods. The library is also fully integrated with chatGPT, elevating result interpretation through AI.

pyDecision is a comprehensive Python library that encompasses a wide array of Multi-Criteria Decision Analysis (MCDA) methods. These powerful and versatile tools assist in making effective decisions by comparing alternatives based on multiple criteria, making it a valuable resource for researchers, analysts, and decision-makers.

This repository contains a complete implementation in Python of the following decision-making algorithms: In addition, it also contains the framework A-TOPSIS, which is quite useful to rank a set of algorithms based on their performance for group of benchmarks. For more information about the methods, please, refer to the references section.

In this chapter we will show you how to make a "Decision Tree". A Decision Tree is a Flow Chart, and can help you make decisions based on previous experience. In the example, a person will try to decide if he/she should go to a comedy show or not.

Dec 7, 2020 · In this article, we will be focusing on the key concepts of decision trees in Python. So, let’s get started. Decision Trees are the easiest and most popularly used supervised machine learning algorithm for making a prediction. The decision trees algorithm is used for regression as well as for classification problems.

Jun 13, 2023 · Here are the steps to perform an AHP. Objective, Criteria, and Alternatives identification to streamline the process, maximize efficiency, and enhance decision outcomes. Construct a Pair-wise Comparison Matrix to facilitate AHP decision-making using selected criteria.

Jul 10, 2021 · But for ML to add value, its predictions need to be harnessed for decision making, not just prediction. We’ll walk through how you can use probabilistic classifiers not just to make accurate predictions, but to make decisions that lead to the best outcomes.

Apr 20, 2025 · To effectively implement decision-making plugins in Python, it is essential to leverage various decision-making algorithms that can enhance the functionality of your applications. Below, we will explore several key components and methodologies that can be utilized in this context.

Jan 29, 2025 · Decision trees are a powerful and versatile machine learning algorithm used for both classification and regression tasks. In Python, the implementation of decision trees is made straightforward through popular libraries such as scikit - learn.

Apr 21, 2024 · This post explains all the concepts behind the Decision Tree algorithm and how to implement a Python class able to create Decision Tree objects. Finally, we'll use the Breast Cancer data to train our model and perform predictions using test data.