Questions tagged [xgboost]

Question 1

XGBoost has a history of being dominant in Kaggle competitions, but why is it so competitive on structured data compared to other ML algorithms? I’ve read that sparse matrix utilization improves the ...

Question 2

Currently in mlflow.xgboost if I start autolog(), then all possible parameters are logged, even if they are not set. I'd like to disable them to see in mlflow GUI only the ones that were set. It seems,...

Question 3

I'm using an early stopping for XGBClassifier. The fitting looks like this (simplified): ...

Question 4

What is the pros and cons of using XGBoost VS GBR (scikit-learn) when dealing with data 500<records<1000 and about 5 columns?

Question 5

I am training a machine learning model to predict a score based on some behavioral client data. The model would be something classic like a random forest, XGBoost or multilinear Regression. Depending ...

Question 6

I'm trying to create a predictive model for a dataset with continuous input variables and a binary/probability output. The input are sensors (up to 400 columns, but some very irrelevant) which are ...

Question 7

I have a logistic regression model, the output of which is used to make decisions. I am testing an improved version of this model. In testing, it has substantially improved logloss vs old model. When ...

Question 8

I'm working on predicting two genetic mutations simultaneously using an XGBoost Multioutput Classifier. My dataset is severely imbalanced, particularly for cases where both genetic mutations are ...

Question 9

I already have a GLM model in place to predict claims frequency. I know have access to many new variables (a mix of categorical and continuous variables, some of which are likely correlated). I wish ...

Question 10

Im working on a regression problem with 400 samples and 7 features, to predict job durations of machineries from historical data. Im using XGboost and (90,10) split works better than (80,20) split. Is ...

Question 11

Traditionally ML algorithms for ranking take the features as input and then output a "ranking score" which do not have a natural probabilistic interpretation. For example, suppose we have ...

Question 12

I have the following dataframe (in wide format) which records the IQ, Hours (number of hours of studying) and ...

Question 13

I'm getting this error when trying to load a saved XGBRegressor model locally: ...

Question 14

Consider a setting in which I have an unbalanced dataset where the targeted class takes values = 1 in 0,01% of observations and value = 0 in 99,9% of the observations. I train a classification model, ...

Question 15

Consider a dataset and two binary classes CLASS_A and CLASS_B. These two classes are not necessarely independent. Let's say that CLASS_A = "buy an apple" and CLASS_B = "buy an orange&...

Stack Exchange Network

Questions tagged [xgboost]

What makes XGBoost so much more dominant with structured data?

How can I disable in mlflow.xgboost.autolog to log "none" parameters?

Does using test data in eval_set argument for xgboost cause data leakage?

XGBoost or GBR?

What are the typical GPU requirements for training a classic predictions Model like XGBoost or Random Forest?

How do I train a model on data where there should be a statistical difference but it can't find it?

Evaluating model performance when used in targeting decisions

How to Properly Use scale_pos_weight in an XGBoost MultiOutput Classifier to Address Severe Class Imbalance?

New Variables to Add to Model GLM/GBM

400 instances dataset XGboost, is my model overfitting?

Machine learning model for ranking that outputs probabilities

Learning models for non-mutually exclusive events/ labels other than Multilabel classification

XGBoost __sklearn_tags__ Method Error in Python When Loading Model [closed]

Interpreting predicted probabilities after rebalancing [duplicate]

Comparing probabilities of two models

Hot Network Questions