overfitting - What should I do when my neural network doesn't ...
Overfitting for neural networks isn't just about the model over-memorizing, its also about the models inability to learn new things or deal with anomalies. Detecting Overfitting in Black Box …
how to avoid overfitting in XGBoost model - Cross Validated
Jan 4, 2020 · Firstly, I have divided the data into train and test data for cross-validation. After cross validation I have built a XGBoost model using below parameters: n_estimators = 100 …
regression - Does over fitting a model affect R Squared only or ...
Sep 10, 2019 · The more regressors that are properly correlated with the output would not lead to overfitting right ? If I used 20 regressors from which 6 are dependent and should be removed, …
When does my autoencoder start to overfit? - Cross Validated
Jan 11, 2019 · It seems like this question could be answered by (1) positing a definition of overfitting and (2) examining whether or not you observe phenomena which meet that …
How to distinguish overfitting and underfitting from the ROC AUC …
Jan 30, 2019 · 3 For model selection, one of the metric is AUC (Area Under Curve) which tell us how the models are performing and based on AUC value we can choose the best model. But …
How to prevent overfitting in Gaussian Process - Cross Validated
Oct 25, 2018 · Gaussian processes are sensible to overfitting when your datasets are too small, especially when you have a weak prior knowledge of the covariance structure (because the …
Random Forest - How to handle overfitting - Cross Validated
Aug 15, 2014 · Empirically, I have not found it difficult at all to overfit random forest, guided random forest, regularized random forest, or guided regularized random forest. They regularly …
What's a real-world example of "overfitting"? - Cross Validated
Dec 11, 2014 · I kind of understand what "overfitting" means, but I need help as to how to come up with a real-world example that applies to overfitting.
How does cross-validation overcome the overfitting problem?
Jul 19, 2020 · Why does a cross-validation procedure overcome the problem of overfitting a model?
Dealing with LSTM overfitting - Cross Validated
Jun 17, 2018 · To know if it is underfitting or overfitting, try to plot predict vs real; You could do feature selection/engineering -- try to add more features or remove the ones that you might …