User Xavier Bourret Sicotte

94 votes

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Bias and variance in leave-one-out vs K-fold cross validation

answered Jul 18, 2018 at 11:13

80 votes

How to intuitively explain what a kernel is?

answered Jul 8, 2018 at 10:21

74 votes

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Calculating confidence intervals for a logistic regression

answered Jul 5, 2018 at 17:26

63 votes

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Maximum Likelihood Estimators - Multivariate Gaussian

answered Jun 15, 2018 at 13:10

34 votes

Understanding bias-variance tradeoff derivation

answered Jul 3, 2018 at 15:08

25 votes

How does one interpret SVM feature weights?

answered Jul 8, 2018 at 9:56

24 votes

What is the difference between a "link function" and a "canonical link function" for GLM

answered May 31, 2018 at 12:40

24 votes

Coordinate descent soft-thresholding update operator for LASSO

answered Jun 13, 2018 at 9:45

19 votes

How to interpret a QQ plot

answered Apr 30, 2018 at 14:27

18 votes

Intuitive explanations of differences between Gradient Boosting Trees (GBM) & Adaboost

answered Jul 11, 2018 at 14:46

17 votes

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Variance of $K$-fold cross-validation estimates as $f(K)$: what is the role of "stability"?

answered Jul 21, 2018 at 6:55

16 votes

Is it true that the percentile bootstrap should never be used?

answered Jul 20, 2018 at 10:55

15 votes

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Choosing optimal alpha in elastic net logistic regression

answered Nov 3, 2018 at 17:24

14 votes

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What causes lasso to be unstable for feature selection?

answered Sep 11, 2018 at 15:12

14 votes

Shrinkage parameter in Adaboost?

answered Jul 11, 2018 at 15:28

12 votes

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Understanding Lasso Regression's sparsity geometrically

answered Jun 24, 2019 at 16:58

11 votes

Graphical interpretation of LASSO

answered Jun 18, 2018 at 7:46

11 votes

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Support Vector Machine - Calculate w by hand

answered Jun 29, 2018 at 7:13

9 votes

Optimal number of folds in $K$-fold cross-validation: is leave-one-out CV always the best choice?

answered Jul 17, 2018 at 12:28

8 votes

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Logistic Regression is a nonlinear regression problem?

answered Sep 4, 2018 at 22:20

8 votes

Why is gradient descent so bad at optimizing polynomial regression?

answered Jun 7, 2018 at 8:43

7 votes

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Graphical path Coordinate Descent in case of semi-differentiable functions such as Lasso

answered Jun 16, 2018 at 14:37

7 votes

What causes lasso to be unstable for feature selection?

answered Sep 12, 2018 at 22:14

6 votes

k-means vs k-means++

answered Jul 17, 2018 at 16:15

6 votes

Accepted

The graphical intuiton of the LASSO in case p=2

answered Jun 18, 2018 at 8:03

6 votes

$N(\theta,\theta)$: MLE for a Normal where mean=variance

answered Apr 21, 2018 at 17:21

6 votes

Lasso regression solutions

answered Jun 19, 2018 at 8:51

6 votes

What is meant by the variance of functions in Introduction to Statistical Learning?

answered Jul 4, 2018 at 10:02

5 votes

Question about bias-variance tradeoff

answered Jul 4, 2018 at 11:45

5 votes

How does a Support Vector Machine (SVM) work?

answered Jun 28, 2018 at 15:51

Stack Exchange Network

78 Answers

Bias and variance in leave-one-out vs K-fold cross validation

How to intuitively explain what a kernel is?

Calculating confidence intervals for a logistic regression

Maximum Likelihood Estimators - Multivariate Gaussian

Understanding bias-variance tradeoff derivation

How does one interpret SVM feature weights?

What is the difference between a "link function" and a "canonical link function" for GLM

Coordinate descent soft-thresholding update operator for LASSO

How to interpret a QQ plot

Intuitive explanations of differences between Gradient Boosting Trees (GBM) & Adaboost

Variance of $K$-fold cross-validation estimates as $f(K)$: what is the role of "stability"?

Is it true that the percentile bootstrap should never be used?

Choosing optimal alpha in elastic net logistic regression

What causes lasso to be unstable for feature selection?

Shrinkage parameter in Adaboost?

Understanding Lasso Regression's sparsity geometrically

Graphical interpretation of LASSO

Support Vector Machine - Calculate w by hand

Optimal number of folds in $K$-fold cross-validation: is leave-one-out CV always the best choice?

Logistic Regression is a nonlinear regression problem?

Why is gradient descent so bad at optimizing polynomial regression?

Graphical path Coordinate Descent in case of semi-differentiable functions such as Lasso

What causes lasso to be unstable for feature selection?

k-means vs k-means++

The graphical intuiton of the LASSO in case p=2

$N(\theta,\theta)$: MLE for a Normal where mean=variance

Lasso regression solutions

What is meant by the variance of functions in Introduction to Statistical Learning?

Question about bias-variance tradeoff

How does a Support Vector Machine (SVM) work?