Questions tagged [xgbclassifier]
112 questions
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XGBClassifier from xgboost gives different fits for different num_class parameters
I accidently found that I get a better fit for my binary dataset if I set parameter objective of XGBClassifier to multiclass and increase the number of classes. At the same time, however, the fit takes longer and consumes twice as much…
user1488793
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Does it make sense to use a part of the dataset to train my model?
The dataset I have is a set of quotations that were presented to various customers in order to sell a commodity. Prices of commodities are sensitive and standardized on a daily basis and therefore negotiations are pretty tricky around their prices.…
Kartik Kumar
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How to optimize non parametric model in R?
I have a binary classification XGBTree model. The data frame used to train the model contains many independent variables(x) and I want to optimize one x to improve the chances that the result becomes 1.
I wonder how it can be achieved? I have…
Nelson Chou
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How to solve this "AssertionError: Must have at least 1 validation dataset for early stopping." in xgboost model=1.6.2
from skopt import BayesSearchCV bayes_cv_tuner = BayesSearchCV( estimator = XGBClassifier( n_jobs = 8, objective = 'binary:logistic', eval_metric = 'auc', silent=1, tree_method='approx',…
SHESADEV SHA
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XGB Classifier model poorly generalising, but evaluation metrics improve?
I'm looking for an explanation for the following issue. I'm fitting an XGB model to a dataset of 50k rows, 26 features.
I'm running a gridsearch with varying max_depths + n_estimators and the model is performing much better with deeper trees (with a…
roastbeeef
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XGBoost fails to fit data
I have two separate working models. They are identical other than one uses Random Forest and one uses XGBoost.
Yesterday I made changes to the data (I added two columns) and trained the RF model. It now scores about 4% higher than before I added…
MarkS
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How to save model from best iteration in xgboost?
I am using XGBClassifier for my image classification. As i am new to machine learning and xgboost. But recently i got to know that the model i am saving by using pickle library after certain iteration is the last iteration not the best iteration.…
