Which model is better, one just before overfitting with higher accuracy or one with no overfitting and lower accuracy?
120234
What would I prefer - an over-fitted model or a less accurate model?
156676
How to compare features and classifiers which achieve perfect accuracy?
103820
Why is AUC higher for a classifier that is less accurate than for one that is more accurate?
57829
Variables are often adjusted (e.g. standardised) before making a model - when is this a good idea, and when is it a bad one?
98863
Which metric to use to evaluate highly imbalance classification model performance
53204
Can weight decay be higher than learning rate
56347
What is the difference between estimation and prediction?
132899
When no model comparison, should I use REML vs ML?
19606
How is Hyndman's explanation of proper Time Series Cross Validation different from Leave-One-Out?
118772
Is R-squared value appropriate for comparing models?
70893
How to Identify Overfitting in Convolutional Neural network?
85497
Parametric vs non-parametric machine learning methods
131006
What is a "model" in machine learning?
79038
When will L1 regularization work better than L2 and vice versa?
107278
Comparing SVM and logistic regression
13664
Bias and variance in leave-one-out vs K-fold cross validation
28449
Is it possible to get worse model after optimization?