User bstrain

3 votes

Accepted

Dealing with NaN (missing) values for Logistic Regression- Best practices?

answered Oct 18, 2018 at 11:31

2 votes

is the logit transform ever actually computed in modeling process of logistic regression?

answered Oct 1, 2019 at 1:17

2 votes

How do I plot linear regression results if input and target have different sizes?

answered Jul 17, 2018 at 19:16

2 votes

Estimating panel model in R

answered Jul 19, 2018 at 11:51

2 votes

Accepted

Help with creating dimensions/features

answered Sep 13, 2018 at 7:58

1 vote

Equation of Linear Regression

answered Jul 18, 2018 at 5:33

1 vote

Interpreting Results of Multivariable Regression / how to transform variables to improve results

answered Jul 19, 2018 at 7:53

1 vote

Accepted

Influence of a data point on the regression result?

answered Jul 19, 2018 at 8:03

1 vote

Interpreting random seed effect on correlation in regression with small sample

answered Jul 19, 2018 at 9:07

1 vote

How to treat column with potentially meaningful NaNs

answered Oct 30, 2019 at 10:48

1 vote

How to make tool that's robust to user-generated typos?

answered Dec 3, 2019 at 13:27

1 vote

What are some significance tests to rank features(multiple) before training the data

answered Mar 2, 2020 at 0:10

1 vote

Classification of keystrokes

answered Mar 7, 2019 at 3:28

1 vote

How to replace NaN values for image data?

answered May 4, 2019 at 12:13

1 vote

Is there a definitive and more conclusive way of interpreting the R^2 score from a linear regression model in terms of prediction accuracy?

answered Sep 7, 2018 at 13:00

1 vote

How exactly dependent variable is expressed in terms of independent variables using Partial Least Square Regression Method?

answered Oct 17, 2018 at 13:34

1 vote

Resampling train and test data in R

answered Jun 29, 2020 at 22:15

1 vote

Accepted

Selecting most important features for multilinear regression

answered Feb 9, 2021 at 7:12

0 votes

Pick a machine learning algorithm for a problem with near chance optimal performance

answered Jun 25, 2020 at 13:39

0 votes

One hot encoding for multiple label(trainy) in .fit() method?

answered Nov 4, 2019 at 7:18

0 votes

Regression or Correlation for this RQ?

answered Sep 14, 2018 at 10:50

0 votes

Chi-square as evaluation metrics for nonlinear machine learning regression models

answered Aug 9, 2018 at 7:34

0 votes

Decomposing R squared or VIF

answered Sep 4, 2018 at 11:56

Stack Exchange Network

23 Answers

Dealing with NaN (missing) values for Logistic Regression- Best practices?

is the logit transform ever actually computed in modeling process of logistic regression?

How do I plot linear regression results if input and target have different sizes?

Estimating panel model in R

Help with creating dimensions/features

Equation of Linear Regression

Interpreting Results of Multivariable Regression / how to transform variables to improve results

Influence of a data point on the regression result?

Interpreting random seed effect on correlation in regression with small sample

How to treat column with potentially meaningful NaNs

How to make tool that's robust to user-generated typos?

What are some significance tests to rank features(multiple) before training the data

Classification of keystrokes

How to replace NaN values for image data?

Is there a definitive and more conclusive way of interpreting the R^2 score from a linear regression model in terms of prediction accuracy?

How exactly dependent variable is expressed in terms of independent variables using Partial Least Square Regression Method?

Resampling train and test data in R

Selecting most important features for multilinear regression

Pick a machine learning algorithm for a problem with near chance optimal performance

One hot encoding for multiple label(trainy) in .fit() method?

Regression or Correlation for this RQ?

Chi-square as evaluation metrics for nonlinear machine learning regression models

Decomposing R squared or VIF