Hello! I'm a dreamer focusing on high-load distributed systems and low-level engineering. I mainly code in Rust and Python ...

Some time ago, I was a passenger in a vehicle in rural India—a place where there is no rule of law regarding driving. Drivers didn’t stay in neat lanes; some ended up on the side of the curb. Drivers ...

We are not planning to support the sklearn extensions in the future. Currently, the code related to the sklearn extensions within openml-python provides a straightforward way to upload models and ...

ABSTRACT: Introduction: Biopsy procedures represent an essential diagnostic tool in the management of oral lesions. This study aims to evaluate the knowledge, attitudes, and practices of dental ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Effective record linkage in big data, particularly in imbalanced datasets, is a critical yet highly challenging task due to the inherent complexity involved. This article utilizes an ...

Cross-validation based model evaluation Automatic calculation of RMSE, MAE, R², and Explained Variance Error percentage calculations relative to target variable ...

Abstract: This study introduces a novel approach to example selection in few-shot learning scenarios for dialog intent classification, leveraging logistic regression to refine the set of examples ...