The proposed method was evaluated using different performance matrixes for regression and classification tasks, respectively. The results demonstrated the usefulness of the proposed models in ...

ML based productivity loss by prediciton! This project explores how social media usage impacts productivity and provides a predictive model to assess productivity loss. It combines data exploration, ...

Data classification: What, why and who provides it You need to know where your data is, what it is, its governance requirements and relationship to the rest of your data.

Gradient boosting [12] is a machine learning technique for regression and classification problems, which produces a prediction model in the form of an ensemble of weak prediction models, typically ...

It enables the joint learning of regression and classification tasks and facilitates unbiased joint feature selection through a provable loss weighting scheme. Its potential applications span various ...

Finally, the experimental results confirm the efficacy of the logistic regression model in predicting the chemical composition of ancient glasses, demonstrating its effectiveness in the classification ...

Furthermore, a classification system based on support vector machine and ordinal Bayesian models with a 2-Class scale for SEV reached the highest class accuracy of 0.99. This study showed that ...