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technologynetworks3mon
Logistic Regression
Table 1: Summary of some key differences between logistic and linear regression. Logistic regression is a statistical tool that forms much of the basis of the field of machine learning and artificial ...
Frontiers5mon
Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients
For model validation and comparison with traditional logistic models, SOFA, and APACHE scoring. Conclusion: Based on deep machine learning principles ... we employed both traditional generalized ...
Frontiers2y
Comparison of machine learning and logistic regression as predictive models for adverse maternal and neonatal outcomes of preeclampsia: A retrospective study
Methods: We employed both logistic regression ... The illustration of the machine learning algorithms applied in this research. A support vector machine (SVM) is a binary linear classifier for ...
ascopubs.org2y
A Comparison of Logistic Regression Against Machine Learning Algorithms for Gastric Cancer Risk Prediction Within Real-World Clinical Data Streams
Machine learning ... by polytomous regression (unordered categorical variables), LR (binary variables), and Bayesian linear regression (continuous variables). Multiple (m = 5) imputation was performed ...
The Motley Fool5mon
What Does Regression Mean in Machine Learning?
The growth of the stock market, for example, might be predicted using multiple linear regression. Logistic regression. In logistics regression, you can use machine learning to help predict the ...
GitHub3y
Linear-and-Logistic-Regression
In this work, I used two LIBSVM datasets which are pre-processed data originally from UCI data repository. Linear regression - Housing dataset (housing scale dataset ...