Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Felimban, R. (2025) Financial Prediction Models in Banks: Combining Statistical Approaches and Machine Learning Algorithms.
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...
This potentially valuable cross-sectional longitudinal study leverages high-definition transcranial direct current stimulation to the left dorsolateral prefrontal cortex to examine its effect on ...
The study provides clear empirical evidence of a positive and statistically significant relationship between internal adoption of AI-enabled FinTech tools and bank performance across multiple ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
A recent study shows that 1 in 5 people use AI every day. From the chatbot helping you budget smarter to the recommendations ...
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