Multiple Linear Regression: Multiple linear regression describes the correlation between two or more independent variables and a dependent variable, also using a straight regression line.

In conclusion, MTLComb represents a significant advancement in multi-task learning. It enables the joint learning of regression and classification tasks and facilitates unbiased joint feature ...

Gradient boosted decision tree is a supervised learning algorithm model constructed by improving tree structure, replacing residual with gradient and using the concept of entropy in informatics. GBDT ...

Multiple Linear Regression Algorithm-based Car Price Prediction Abstract: Unlike "real estate", cars are depreciating assets, which means that their value over time and with use, decreases; because of ...

Keywords: genome-wide association study, mixed linear model, multi-locus algorithm, statistical power, polygenic background, minor effect Citation: Zhang J, Chen M, Wen Y, Zhang Y, Lu Y, Wang S and ...

Conclusions: Machine learning algorithms and logistic regression had comparable predictive accuracy for predicting stroke-related functional impairment in stroke patients.