User Yurii

35 votes

3 answers

7k views

Should final (production ready) model be trained on complete data or just on training set?

asked Nov 29, 2015 at 11:40

16 votes

3 answers

12k views

Discriminant analysis vs logistic regression

asked Dec 28, 2015 at 7:21

9 votes

1 answer

556 views

Why ever use F-statistic?

asked Jan 23, 2016 at 20:18

7 votes

2 answers

337 views

Estimation derived from ignorance

asked Dec 16, 2015 at 11:22

5 votes

2 answers

5k views

Faster option than glmnet for elastic net regularized regression [closed]

asked Feb 18, 2016 at 12:20

4 votes

2 answers

6k views

SVM: Does C increase variance or stability (bias)?

asked Mar 27, 2016 at 7:46

4 votes

2 answers

3k views

Why use different cost function for linear and logistic regression?

asked Sep 27, 2015 at 9:34

3 votes

1 answer

232 views

Neural networks assume continuity, what does this mean?

asked Nov 28, 2019 at 11:04

3 votes

1 answer

140 views

Different coefficient values from multiple vs. bivariate regression under orthogonality

asked Feb 9, 2016 at 21:09

2 votes

1 answer

582 views

What is the difference between $t$-statistic and test-statistic?

asked Jan 4, 2016 at 12:41

1 vote

2 answers

3k views

Bias vs reducible error

asked Dec 24, 2015 at 19:57

Stack Exchange Network

11 Questions

Should final (production ready) model be trained on complete data or just on training set?

Discriminant analysis vs logistic regression

Why ever use F-statistic?

Estimation derived from ignorance

Faster option than glmnet for elastic net regularized regression [closed]

SVM: Does C increase variance or stability (bias)?

Why use different cost function for linear and logistic regression?

Neural networks assume continuity, what does this mean?

Different coefficient values from multiple vs. bivariate regression under orthogonality

What is the difference between $t$-statistic and test-statistic?

Bias vs reducible error