Why do we build the final model on the full data instead of just the training set?
17831
Training on the full dataset after cross-validation?
41508
Converting structured data to a dataset
6914
Why are neural networks becoming deeper, but not wider?
126294
In multiple regression, why are interactions modelled as products, and not something else, of the predictors?
77118
What did my neural network just learn? What features does it care about and why?
97995
What does "end to end" mean in deep learning methods?
147003
Unexpected result using ModelBuilder in batch?
145417
Why it is popular to use stochastic gradient descent in neural networks rather than the BFGS algorithm?
41356
Reason for square images in deep learning
1590
Why not approach classification through regression?
121204
Is it preferable to subset data to test specific hypotheses or specify a full model and run contrasts?
107224
Why you shouldn't upsample before cross validation
34949
Generating a high-dimensional dataset where nearest neighbor becomes meaningless
85385
Why do we need multivariate regression (as opposed to a bunch of univariate regressions)?
17254
Why use logistic regression instead of SVM?
100176
Why only three partitions? (training, validation, test)
9080
What is the benefit of breaking up a continuous predictor variable?