Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Frontiers

Salp swarm-optimized machine learning models for predicting preoperative aortic rupture risk in acute type a aortic dissection patients

Acute Type A aortic dissection (ATAAD) is characterized by acute onset and rapid progression, with aortic rupture due to dissection extension being the primary lethal mechanism. Timely identification ...
GitHub

MetaSklearn: A Metaheuristic-Powered Hyperparameter Optimization Framework for Scikit-Learn Models.

As can be seen, you do it like any other model from Scikit-Learn library such as Random Forest, Decision Tree, XGBoost,... This section explains how to use different types of variables from the ...
IEEE

Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models

Abstract: Artificial intelligence (AI) has been increasingly applied to solve complex real-world problems. One of the most significant challenges in AI lies in selecting and fine-tuning the optimal ...
EurekAlert!

Fuel breaks for forest fires could be more effective in reducing potential risks and impacts if planned using a new optimization approach, which accounts for uncertain wildfire ...

Mike Lewelling, National Park Service. Author countries: Canada, U.S. Funding: Funding for this work was provided by Natural Resource Canada’s Canadian Forest Service Wildfire Risk Management Program ...
GitHub

Decision-Trees-and-Random-Forests

import pandas as pd import numpy as np from sklearn.model_selection import train_test_split, cross_val_score from sklearn.tree import DecisionTreeClassifier, plot_tree from sklearn.ensemble import ...
Scientific Research Publishing

Mohapatra, N., Shreya, K., & Chinmay, A. (2020). Optimization of the Random Forest Algorithm. In Advances in Data Science and Management (pp. 201-208). Springer.

ABSTRACT: Background and Theoretical Dilemma: The United States of America (USA) is the world’s largest consumer of crude oil in the world. Ensuring the sustainability of the role of crude oil in the ...