Calibration curve of XGBoost for binary classification
Jul 17, 2019 · I'm working on a binary classification problem, with imbalanced classes (10:1). Since for binary classification, the objective function of XGBoost is 'binary:logistic', the …
machine learning - Classification XGBoost vs Logistic Regression ...
Feb 27, 2019 · Gradient boosting machines (the general family of methods XGBoost is a part of) is great but it is not perfect; for example, usually gradient boosting approaches have poor …
Ordinal log-loss in a multiclass classification in XGBoost?
Nov 15, 2023 · Therefore, this 1-to-3 mapping, I think, cannot be implemented in XGboost because it doesn't allow you to input a vector of more than 2 classes without providing predt …
boosting - XGBoost poor calibration for binary classification on a ...
Aug 11, 2022 · I've read a lot of threads/questions about this issue and I got conflicting answers. I've trained an XGBoost model on tabular data to predict the risk for a specific event (ie a …
boosting - Ordinal vs multinominal classification in XGboost ...
Nov 18, 2023 · Strictly speaking XGBoost does not support ordinal regression, we can roughly approximate it to some degree by using multi-class classification as surrogate. i.e. having …
What is the "binary:logistic" objective function in XGBoost?
What is the "binary:logistic" objective function in XGBoost? Ask Question Asked 7 years, 6 months ago Modified 5 years, 7 months ago
Low AUC value for XGBoost binary classification model
Nov 6, 2024 · I am using XGBoost to construct a binary classification model to identify individuals with a diagnosis based on things like weight, average steps per day, age, etc. My model is …
XGBoost Classifier not capturing extreme probabilities
Mar 2, 2022 · I'm using XGBoost for a binary classification task—trying to predict whether team A will beat team B given the score of the game and the time left. I know for certain score-time …
boosting - XGBoost classification of panel/longitudinal data ...
May 30, 2020 · The time effects are irrelevant in my problem, but I'm afraid firm-specific effects may corrupt the data classification of observations since data samples of neighbor …
Creating a custom objective function for Binary classification for …
2 I am new to the usage of a custom loss function for a model particularly for Xgboost and Lgbm. I have a binary classification problem which is highly imbalanced and I need to predict the …