Keywords: statistical model selection, assumptions, linear regression, ANOVA, machine learning, homoscedasticity, normality, independence, data transformation, non-parametric tests, robust ...

Environmental scientists are increasingly using enormous artificial intelligence models to make predictions about changes in ...

Using these insights, the team developed a machine learning model incorporating 13 predictors, achieving high accuracy in predicting gene selection across programs.

The complexity and size of software systems has increased to the extent that traditional manual development and maintenance ...

Gynecological cancers, including breast, ovarian, and cervical malignancies, account for a significant global health burden among women. The review outlines how a spectrum of machine learning (ML) ...

Patients diagnosed with advanced-stage Hodgkin lymphoma (aHL) have historically been risk-stratified using the International Prognostic Score (IPS). This study investigated if a machine learning (ML) ...

In recent years, scientists have found that machine learning–based weather models can make weather predictions more quickly ...

List of best Machine Learning Models for time series forecasting, Stock Prediction, Multiclass Classification, Regression, Small Datasets, Big Datasets, etc.

The life and health insurance industry landscape across the globe is now confronting mounting challenges such as increasingly ...