The objective function is the function that you want to minimise or maximise in your problem. The expression "objective function" is used in several different contexts (e.g. machine learning or …

A loss function is a part of a cost function which is a type of an objective function. All that being said, thse terms are far from strict, and depending on context, research group, background, …

What is the "binary:logistic" objective function in XGBoost? Ask Question Asked 7 years, 7 months ago Modified 5 years, 8 months ago

Jul 29, 2019 · I find the terms cost, loss, error, fitness, utility, objective, criterion functions to be interchangeable, but any kind of minor difference explained is appreciated.

What do the variables mean in the SVM objective function? Ask Question Asked 11 years, 5 months ago Modified 10 years, 2 months ago

Aug 6, 2021 · The objective function is the most general term that can be used to refer to a cost (or loss) function, to a utility function, or to a fitness function, so, depending on the problem, …

Jan 30, 2021 · In my experience, the fitness function is a way to define the goal of a genetic algorithm. It provides a way to compare how "good" two solutions are, for example, for mate …

Feb 7, 2015 · 68 Principal component analysis can use matrix decomposition, but that is just a tool to get there. How would you find the principal components without the use of matrix …

Apr 23, 2025 · I am trying to familiarise myself with the custom objective function in lightgbm. As an exercise, I am trying to rewrite the multiclass classification log loss and compare the result …

For this the objective function I am using is objective = 'binary:logistic'. I did built an Xgboost model using the above ojective function and my evaluation metric being the average precision …