When sample size is large, can I get away with 10 bootstrap resamples?
26779
Rule of thumb for number of bootstrap samples
93219
Is bootstrapping standard errors and confidence intervals appropriate in regressions where homoscedasticity assumption is violated?
5066
Logistic Regression : 10 events per predictor rule
38075
What is the trade-off between batch size and number of iterations to train a neural network?
154261
PCA when the dimensionality is greater than the number of samples
138454
Determining sample size for ML algorithm validation
50184
Doubling the tails in two-sample permutation test
16157
Questions on parametric and non-parametric bootstrap
120067
Unequal sample sizes one-way ANOVA
81513
When data has a gaussian distribution, how many samples will characterise it?
65681
Should training data in each batch size be resample only one time or at each epoch when using mini-batch
16245
Is it possible to accumulate a set of statistics that describes a large number of samples such that I can then produce a boxplot?
78589
Why mini batch size is better than one single "batch" with all training data?
104142
How to choose significance level for a large data set?
24750
Are unbalanced datasets problematic, and (how) does oversampling (purport to) help?
118103
Does PCA's reconstruction error get reduced with more PCs being used?
9954
Why did sampling boost the performance of my model?