Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of
methods and tools designed to build better predictive models and to monitor their behaviour …

Financial distress prediction provides an effective warning system for banks and investors to
correctly guide decisions on granting credit. Ensemble methods have demonstrated their …

Cross-validation is one of the most widely used data resampling methods for model
selection and evaluation. Cross-validation can be used to tune the hyperparameters of …

Although few performance evaluation instruments have been used conventionally in
different machine learning-based classification problem domains, there are numerous ones …

The emergence of big data, information technology, and social media provides an enormous
amount of information about firms' current financial health. When facing this abundance of …

Machine learning classification algorithms are widely used for the prediction and
classification of the different properties of molecules such as toxicity or biological activity …

Global navigation satellite systems (GNSS) has been applied to the sounding of precipitable
water vapor (PWV) due to its high accuracy and high spatiotemporal resolutions. PWV …

Using a large national database of cardiac surgical procedures, we applied machine
learning (ML) to risk stratification and profiling for cardiac surgery-associated acute kidney …

Background Low birth weight is a key indicator for child health, especially a concern in low-
middle-income countries. However, health and medically-related reforms are being actively …

The application of machine learning (ML) techniques stands as a reliable method for aiding
in the diagnosis of complex diseases. Recent studies have related the composition of the gut …