Statistical testing in Python offers a way to make sure your data is meaningful. It only takes a second to validate your data ...
Objective: In this study, we aim to identify the predictive variables for hemiplegic shoulder pain (HSP) through machine learning algorithms, select the optimal model and predict the occurrence of HSP ...
ABSTRACT: Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral ...
The classification models built on class imbalanced data sets tend to prioritize the accuracy of the majority class, and thus, the minority class generally has a higher misclassification rate.
Abstract: The deep random vector functional link (dRVFL) and ensemble dRVFL (edRVFL) succeed in various tasks and achieve state-of-the-art performance compared with other randomized neural networks ...
Natural Resources Policy Investigation and Evaluation Center of Jiangxi Province, Nanchang, Jiangxi, China Colluvial landslides widely developed in mountainous and hilly areas have the characteristics ...
Hello Pythonistas welcome back. Today we will continue our series CodeCraft: Building Skills One Project at a Time. So let’s get started, the second project in this series is a Number Guessing Game.
The deployment of large language models (LLMs) has become central to many applications, from synthetic data generation to fine-tuning models for specific tasks. With their vast capabilities, these ...
Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...
Abstract: This study develops a random forest and support vector machine model combined with various technical indicators for stock price analysis. This model uses these indicators as input features ...
Crypto exchange FTX used hidden Python code to misrepresent the value of its insurance fund — a pool of funds meant to prevent user losses during huge liquidation events — according to testimony from ...