Introduction Shared decision-making (SDM) requires that individuals are correctly and smoothly supported to make decisions. However, in Japan, development of decision aids (DAs) to support ...
This project implements a distributed machine learning pipeline to predict flight arrival delays with a Mean Absolute Error (MAE) of approximately 8 minutes. The ...
Abstract: The research uses the Ames dataset from Kaggle for predicting house prices. It applies six different machine learning models. These are XGBoost Regressor, Support Vector Regressor, Decision ...
Abstract: In the practical application of machine learning, the opaqueness of models often poses significant challenges. While decision trees are known for balancing representability with ...