Why limiting the weights to not grow to big numbers help to avoid overfitting?
56397
Why do smaller weights result in simpler models in regularization?
29411
Why P>0.5 cutoff is not "optimal" for logistic regression?
136886
Large sample asymptotic/theory - Why to care about?
80741
Constrain a Neural Network to be monotonic?
111321
When should we discretize/bin continuous independent variables/features and when should not?
38739
Restrictions on universal generalization
149395
Neural network - meaning of weights
107224
Why you shouldn't upsample before cross validation
16571
How to know the model has started overfitting?
102544
Why should one use EM vs. say, Gradient Descent with MLE?
98728
Random forest is overfitting?
126800
Why do we use multiple epochs and why does it not lead to over fitting
38690
Why are non zero-centered activation functions a problem in backpropagation?
23761
When is unbalanced data really a problem in Machine Learning?
3980
Reduce Classification Probability Threshold
131954
Choosing IRLS over gradient descent in logistic regression
77239
Limit point versus limit and implications for convergence