query: How to know if GBM or XGBOOST are overfitting?
positive_passages.docid: 145064
positive_passages.text: Techniques to detect overfitting
negative_passages.docid: 91625
negative_passages.text: Classification/evaluation metrics for highly imbalanced data
negative_passages.docid: 74524
negative_passages.text: How to test accuracy of an unsupervised clustering model output?
negative_passages.docid: 35937
negative_passages.text: Softmax vs Sigmoid function in Logistic classifier?
negative_passages.docid: 30343
negative_passages.text: xgboost tayler expansion detail
negative_passages.docid: 52765
negative_passages.text: When to use a GAM vs GLM
negative_passages.docid: 20531
negative_passages.text: Why is accuracy not the best measure for assessing classification models?
negative_passages.docid: 42993
negative_passages.text: Lightgbm vs xgboost vs catboost
negative_passages.docid: 57006
negative_passages.text: Diagnostics for logistic regression?
negative_passages.docid: 89077
negative_passages.text: Bootstrapped confidence intervals: different values at every computation?
negative_passages.docid: 130691
negative_passages.text: Compare classifiers based on AUROC or accuracy?
negative_passages.docid: 87047
negative_passages.text: For model selection/comparison, what kind of test should I use?
negative_passages.docid: 12658
negative_passages.text: Tool to confirm Gaussian fit
negative_passages.docid: 113807
negative_passages.text: Testing Classification on Oversampled Imbalance Data
negative_passages.docid: 90482
negative_passages.text: Random forest regression not predicting higher than training data
negative_passages.docid: 120234
negative_passages.text: What would I prefer - an over-fitted model or a less accurate model?
negative_passages.docid: 158991
negative_passages.text: Which loss function is correct for logistic regression?