1. Methods / approach to improve the predictive accuracy of a logistic regression model

  2. Coefficients from Logistic Regression using Scikit-Learn
  3. Arguments to sklearn.feature_selection.rfe.fit

  4. How is the cost function from Logistic Regression derivated
  5. Logit parameters estimates when the model perfectly discriminates

  6. binary logistic regression with large sample size

  7. Logistic Regression on Time Series Data

  8. How to avoid collinearity of categorical variables in logistic regression?

  9. Logistic regression model - software defect prediction

  10. Testing the scope of application of a logistic regression model

  11. Logistical Regression: Expected low p-value for one independent vaiable
  12. How to do 4-parametric regression for ELISA data in R
  13. Should logistic regression models generated with and without cross validation in the caret.train function in R be the same?

  14. ROC curve and Logistic Regression

  15. Categorising continuous variable into quartiles - plot of coefficients vs the midpoint of the interval

  16. Lift Charts in R error The y variable must be a two-level factor

  17. Running logistic Regression in SPSS

  18. Whether to convert Categorical value in Logistic Regrssion
  19. Why does my ROC curve look like this (is it correct?)

  20. Can outcome-dependent bootstrapping be employed when validating models for binary outcomes?
  21. Logistic Regression Models Without Main Effects?

  22. interpretation of betareg coef

  23. Report of logistic regression (SPSS)
  24. ordinal logistic regression - sample size no power info

  25. How to calculate WOE (weight of evidence) for single class bins?
  26. Explained variance in logistic regression based on regression coefficients

  27. Regression to check predictivity of mutation position on phenotype

  28. How to compare the performance of two classification methods? (logistic regression and classification trees)
  29. Logistic Regression - Covariance Matrix of "Response" Residual Vector
  30. Question on deriving the multinomial logit model
  31. How does the total number of users of a particular online community usually evolve in time?

  32. Log-odds transformation in gbm binary classification

  33. Goodness of fit for logistic regression and difference in validation when bootstrapping
  34. Calculate the confidence interval of log odds using a linear combination?

  35. Does it make sense to use Logistic regression with binary outcome and predictor?

  36. The effect of skewed continuous predictors in a binary logistic regression model

  37. Logistic Regression coefficients (in real life!)
  38. terms and keep.order in GLM not working with factor variable as part of interaction

  39. Country of origin as a dependent variable in Logistic regression
  40. Why are IV with odds ratios =1 included in the model?

  41. Choice of levels of categorical independent variable in logistic regression

  42. Logistic Regression for random data

  43. Interpretation of a partly continuous variable

  44. Interpreting logistic regression output
  45. What can make categorical variables seem significant in a logistic regression

  46. Can logistic regression learn the decision boundary directly?

  47. WAIC and model selection

  48. Multinomial logistic regression in R returns fewer categories
  49. how to solve this problem with K-fold Cross validation?v

  50. How to set up an intercept-only mixed logistic regression in order to test for difference from 50% chance level?
  51. Confidence interval for x-values given a probability in a logistic regression

  52. Does the delta output from a k-fold cross validation indicate the estimated classification error?

  53. Doing several ordinal regressions as part of same research question, but distributions differ, what model to use?

  54. Using logistic regression for a continuous dependent variable

  55. Comparing different methods of discrete-time survival analysis

  56. Singularity issues in multinomial logit model with differing choice sets

  57. Fitting a logistic mixed model with AR1 correlation structure
  58. asym, xmid, scal biological interpretation for Self-Starting Nls Logistic Model
  59. Realisation of a logistic segmented regression / psi argument
  60. Probabilistic Generative model derivation assuming Guassian distribution of class-conditional probabilities

  61. Logistic Regression (encapsulating chronology within features)
  62. Sampling from Bayesian Hierarchical Logistic Regression Posterior
  63. Caret error: train()'s use of ROC codes requires class probabilities. See the classProbs option of trainControl() when using Logistic Regression
  64. Logistic regression: calculate likelihood value for training data set using weights
  65. Combining additive and multiplicative effects in logistic regression

  66. Regression when output is in a specific interval
  67. How to interpret the coefficient of the reference group in multinomial logistic regression
  68. Maximum number of categorical predictors in multinomial (polytomous) logistic regression

  69. Interpreting lrtest output in R for multiple logistic regressions

  70. Each execution of sklearn logistic regression gives different accuracy

  71. Why do we use logistic regression for classification problems, rather than other continuous functions?

  72. how to use logistic regression for this scenario

  73. fit and cross-validate categorical sample data formed from observations
  74. Moran's I test for spatial autocorrelation on the residuals from a logistic mixed model

  75. p-value and standard error of logistic regression betas calculated from reciprocal of odds ratio

  76. should I use a MANCOVA or an ordered logistic regression for my correlation study?

  77. logistic regression for recommendation system
  78. logistic function ec90

  79. Should all parameter coeffiecients be negative for WOE in logistic
  80. On the inclusion of intercept when performing regression with categorical and continuous predictors

  81. one-sided joint test of coefficients

  82. Fitted value versus probability for logistic regression

  83. What is happening here, when I use squared loss in logistic regression setting?

  84. Regularization in text classification with bag-of-words

  85. Standard error for the difference of coefficients in logistic regression
  86. Logistic regression interpretation on R code
  87. Decision Tree Categorical and Continuous Variable

  88. Significance of categorical predictor in logistic regression
  89. NA's appearing in my logistic regression summary output. How should I procede?
  90. Standardization on binary features with L-BFGS

  91. Calculate the 'economic significance' of a quadratic term?

  92. weights in binomial glm
  93. Long Hand Production of Y Axis Coefficient, Slope Coefficient, P-values, and Error for Binary Logistic Regression
  94. Modelling football matches: alternative approaches, which is correct?

  95. When is logistic regression MLE consistent and asymptotically normal?

  96. How to predict the Revenue by using logistic Regression

  97. How much sparsity is a problem for logistic regression?
  98. How does statistical control work in logistic regression?

  99. Working for Logistic regression partial derivatives

  100. Logistic regression diagnostic plots in R