What can go wrong if we don't scale and center data in a predictive model?
9663
Is it a good practice to always scale/normalize data for machine learning?
153285
Is hyperparameter tuning on sample of dataset a bad idea?
41386
Should one be concerned about multi-collinearity when using non-linear models?
40108
standardising non normally distributed predictors for regression
68925
Varying behavior for possible loss of precision
108285
Origin and formation to the ERROR ‘Dimension too large’
103651
When should we consider a dataset as imbalanced?
49766
Examples of results failing in higher dimensions
47872
Should covariates that are not statistically significant be 'kept in' when creating a model?
91448
Should I normalize all data prior feeding the neural network models?
79976
Feature Scaling and Mean Normalization
154377
What causes lasso to be unstable for feature selection?
73699
How to understand the drawbacks of K-means
157675
Prediction interval on untransformed scale
42578
If a factor variable is to be dropped in model selection, should all levels be dropped simultaneously? If so, why?
145878
Overfitting on the loss graph, but not the accuracy graph
68306
US Election results 2016: What went wrong with prediction models?