Random forest (RF) is a widely used data prediction and variable selection technique.
However, the variable selection aspect of RF can become unreliable when there are more …

This paper examines the distribution of eigenvalues for a 2× 2 random confusion matrix
used in machine learning evaluation. We also analyze the distributions of the matrix's trace …

Background: Machine learning algorithms that can quickly and easily estimate skin
permeability (Kp) are increasingly being used in drug delivery research. The linear free …

Abstract Medical Laboratory Equipment (MLE) is one of the most influential means for
diagnosing a patient in healthcare facilities. The accuracy and dependability of clinical …

Electric vehicles (EVs) are essential to the modernization of transportation systems.
However, optimizing EV charging to align with grid stability and renewable energy …

Diabetes mellitus poses a global health concern, prompting the development of machine
learning algorithms designed to construct a model for the accurate classification of patients …

Abstrak− Penelitian ini berfokus pada penggunaan Al-Qur'an sebagai sumber utama ajaran
Islam dengan tujuan mempermudah pemahaman umat Islam terhadap isinya. Untuk …

This paper presents the five-parameter Exponentiated Weibull Weibull (EWW) distribution
with Weibull base failure rate parameterization, developed to model the dropout times of …

This paper explores the utilization of ensemble models and learning analytics techniques to
predict student academic performance. With the advent of educational big data, institutions …

The challenge of missing data in scientific research prompts researchers to decide between
imputing incomplete data or discarding observations, where discarding can lead to …