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Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as ...

Another study was done by [18], where predictive modeling of cardiovascular disease using Machine Learning Techniques. Random forest, decision tree, gradient-boosted tree, logistic regression.

This study compared the performance of traditional logistic regression and machine learning models in predicting adult sepsis mortality. Objective: To develop an optimum model for predicting the ...

Random forest and bagging regression systems are closely related to techniques called adaptive boosting regression and gradient boosting regression. Examples include AdaBoost (adaptive boosting) ...

Ultimately, we employed decision trees, logistic regression, and random forests to reach our objective. Of these, random forest yielded the highest accuracy of 96%, making them useful for obtaining ...

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