In today’s data-driven world, education systems can greatly benefit from predictive analytics to improve student outcomes. In this project, I developed a Student Performance Prediction System using ...

ABSTRACT: Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and ...

Machine learning models effectively predicted in-hospital mortality among intensive care unit patients with lymphoma, according to research. “Lymphoma is a severe condition with high mortality rates, ...

The effects of human recreation on wildlife may vary depending on the type of road and trail use that is occurring (e.g. see Naidoo and Burton, 2020). Classifying horses into finer sub-classes (e.g., ...

In eukaryotic cells, reactive oxygen species (ROS) serve as crucial signaling components. ROS are potentially toxic, so constant adjustments are needed to maintain cellular health. Here we describe a ...

How to perform a simple regression task using the CatBoost algorithm in Python. This example assumes you have already installed the CatBoost library, which can be done via pip if you haven't already: ...

in a code analysis of the _catboost.pyx file I found some possible bugs in the initial lines. I will detail below: 1 - The xrange() function is being used, which is specific to Python 2. In Python 3, ...

ABSTRACT: This paper presents a comprehensive machine learning approach for credit score classification, addressing key challenges in financial risk assessment. We propose an optimized CatBoost-based ...

Bladder cancer, when diagnosed at an advanced stage, often necessitates inevitable invasive intervention. Consequently, non-invasive biosensor-based cancer detection and AI-based precision screening ...

Researchers at Anthropic, the company behind the Claude AI assistant, have developed an approach they believe provides a practical, scalable method to make it harder for malicious actors to jailbreak ...