User Xavier Bourret Sicotte

11 votes

Accepted

Understanding Lasso Regression's sparsity geometrically

regression lasso

answered Jun 24, 2019 at 16:58

1 vote

Simulating ratio of two independent normal variables

normal-distribution sampling

answered May 31, 2019 at 0:58

1 vote

Accepted

How to create partial dependency plot for logistic regression in Python sklearn

machine-learning python scikit-learn

answered Nov 13, 2018 at 16:37

2 votes

How we can avoid making L2 regularization causing the model to learn a moderate weight for some non-informative features.?

correlation feature-selection regularization feature-engineering

answered Nov 4, 2018 at 1:08

3 votes

how to obtain the 'formula' of a ML classification model

machine-learning classification boosting

answered Nov 4, 2018 at 1:03

13 votes

Accepted

Choosing optimal alpha in elastic net logistic regression

machine-learning cross-validation glmnet elastic-net

answered Nov 3, 2018 at 17:24

2 votes

How will one determine a classifier to be of high bias or high variance?

machine-learning classification bias-variance-tradeoff

answered Nov 1, 2018 at 1:04

2 votes

Machine Learning and Missing Data: Impute, and If So When?

machine-learning feature-selection missing-data

answered Nov 1, 2018 at 0:54

2 votes

Accepted

How do I use weight vector of SVM and logistic regression for feature importance?

machine-learning logistic t-test svm feature-selection

answered Nov 1, 2018 at 0:47

3 votes

How to choose between t-test or non-parametric test e.g. Wilcoxon in small samples

hypothesis-testing t-test nonparametric small-sample wilcoxon-mann-whitney-test

answered Oct 18, 2018 at 21:38

7 votes

What causes lasso to be unstable for feature selection?

regression self-study feature-selection lasso regularization

answered Sep 12, 2018 at 22:14

14 votes

Accepted

What causes lasso to be unstable for feature selection?

regression self-study feature-selection lasso regularization

answered Sep 11, 2018 at 15:12

2 votes

How to plot High Dimensional supervised K-means on a 2D plot chart

machine-learning pca data-visualization k-means dimensionality-reduction

answered Sep 11, 2018 at 9:11

1 vote

Unstable Prediction Probabilities

machine-learning classification overfitting

answered Sep 7, 2018 at 12:49

2 votes

How to do k-fold cross validation with classifiers?

cross-validation overfitting

answered Sep 5, 2018 at 17:31

3 votes

k-fold crossvalidation: how does MSE go with k?

cross-validation

answered Sep 5, 2018 at 15:53

8 votes

Accepted

Logistic Regression is a nonlinear regression problem?

regression self-study logistic

answered Sep 4, 2018 at 22:20

5 votes

Accepted

Algorithms to model non-linear relationship between two vectors

python scikit-learn model nonlinear

answered Sep 4, 2018 at 13:26

2 votes

Accepted

Feature filtering with LASSO and cross validation

self-study feature-selection lasso

answered Sep 4, 2018 at 7:45

4 votes

Cross Validation and Confidence Interval of the True Error

machine-learning classification cross-validation

answered Sep 3, 2018 at 16:29

4 votes

Different ways to produce a confidence interval for odds ratio from logistic regression

logistic confidence-interval odds-ratio delta-method

answered Sep 3, 2018 at 8:57

5 votes

How does lasso regularization select the "less important" features?

machine-learning lasso regularization

answered Sep 2, 2018 at 9:09

1 vote

Accepted

Lasso features selection through Crossvalidation

regression cross-validation lasso

answered Sep 2, 2018 at 9:00

1 vote

Accepted

How to forecast time-series data in Python, using many small samples rather than one large one

time-series python

answered Aug 25, 2018 at 12:02

3 votes

Testing Hypothesis with Time series and Location Data

time-series hypothesis-testing panel-data geography

answered Aug 21, 2018 at 16:50

5 votes

Accepted

Locally Weighted Linear Regression implementation in either R or Python

r regression machine-learning python

answered Jul 25, 2018 at 13:50

4 votes

Accepted

Feature selection in repeated cross-validation

cross-validation feature-selection

answered Jul 23, 2018 at 7:27

4 votes

Why does k-fold cross validation generate an MSE estimator that has higher bias, but lower variance then leave-one-out cross-validation?

cross-validation bias-variance-tradeoff

answered Jul 23, 2018 at 7:12

2 votes

Find a weak learner in Boosting

machine-learning boosting gradient

answered Jul 21, 2018 at 10:47

3 votes

Accepted

What is the way to plot a learning curve for k fold cross-validation

classification cross-validation

answered Jul 21, 2018 at 10:27

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78 Answers

Understanding Lasso Regression's sparsity geometrically

Simulating ratio of two independent normal variables

How to create partial dependency plot for logistic regression in Python sklearn

How we can avoid making L2 regularization causing the model to learn a moderate weight for some non-informative features.?

how to obtain the 'formula' of a ML classification model

Choosing optimal alpha in elastic net logistic regression

How will one determine a classifier to be of high bias or high variance?

Machine Learning and Missing Data: Impute, and If So When?

How do I use weight vector of SVM and logistic regression for feature importance?

How to choose between t-test or non-parametric test e.g. Wilcoxon in small samples

What causes lasso to be unstable for feature selection?

What causes lasso to be unstable for feature selection?

How to plot High Dimensional supervised K-means on a 2D plot chart

Unstable Prediction Probabilities

How to do k-fold cross validation with classifiers?

k-fold crossvalidation: how does MSE go with k?

Logistic Regression is a nonlinear regression problem?

Algorithms to model non-linear relationship between two vectors

Feature filtering with LASSO and cross validation

Cross Validation and Confidence Interval of the True Error

Different ways to produce a confidence interval for odds ratio from logistic regression

How does lasso regularization select the "less important" features?

Lasso features selection through Crossvalidation

How to forecast time-series data in Python, using many small samples rather than one large one

Testing Hypothesis with Time series and Location Data

Locally Weighted Linear Regression implementation in either R or Python

Feature selection in repeated cross-validation

Why does k-fold cross validation generate an MSE estimator that has higher bias, but lower variance then leave-one-out cross-validation?

Find a weak learner in Boosting

What is the way to plot a learning curve for k fold cross-validation