Tagged Questions

0
votes
0answers
87 views

Question about the validation step for a multinomial logit model

I've been skimming through a couple of books (all german ones, hence I do not cite them here) at what residual plots one should look at if the usual model assumptions in the context of a multinomial ...
4
votes
2answers
221 views

In logistic regression, does the lack of significance of the parameter estimates in a test sample indicate overfitting?

I am trying to build a logistic regression model where I have a dependent variable $y$ and independent variables $x_1$, $x_2$... $x_n$. $y$ can take only two values - 0 or 1. My original modelling ...
3
votes
0answers
196 views

Logistic Regression Cost Function issue in Matlab

I'm trying to implement a logistic regression function in matlab. I calculated the theta values, linear regression cost function is converging and then I use those parameters in logistic regression ...
3
votes
0answers
77 views

Validating a logistic regression for a specific $x$

I have a logistic regression model for 0/1 binary response data that is built from samples $(x_1,Y_1),\ldots,(x_m,Y_m)$, where $x_1,\ldots,x_m$ are, fixed, nonrandom, real values and $Y_1,\ldots,Y_m$ ...
1
vote
1answer
359 views

Validation of logistic regression - goodness of fit (pearson)

I have developed a scoring system using logistic regression. The score ranges between 0 and 6 (using integers) and predicts death. It does not use a conventional regression formula and thus I am not ...
2
votes
1answer
41 views

Resources for developing prognostic index-scores

I am looking for online resources or books explaining how to develop prognostic indexes-scores step by step. I am mainly wondering about model validation and transformation of regression coefficients ...
3
votes
2answers
315 views

Logistic regression performs better on validation data

Recently I've been building a model using logistic regression. To my suprisise LIFT chart looks better on the validation data than on the training data, the same is with ROC. All variables in the ...
2
votes
1answer
574 views

Weight variables for predictive model

I received a question today that I wasn't exactly sure how to answer. I have built a predictive model using a fairly basic logistic regression that works pretty well and fits our business needs. ...