# Questions tagged [regression]

Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.

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### Time Series Forecasting for Yearly Data

I have a project that will be focused on collecting financial data from users (Revenues and Expenses). I want to include and AI solution that can take the data for each user and give them a ...
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### Can I compare two models trained on different but similar datasets to help find differences between the two datasets?

I have a multivariate dataset the contains A and B. I want to see if there are differences between the A and B samples. I currently have two ideas on how to do this, but I am not sure if they are ...
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### Do I have to remove features with pairwise correlation even if I am doing a regularized logistic regression?

Normally we would remove features that have high pairwise correlation with another feature before performing regression. But is this step necessary if I am applying L2 regularized logistic regression (...
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### Loss function for normal distribution regression problem

My project involves training an input of random uniformly distributed data using regression (this is my approach) to output random normally distributed data. The issue with formulating the problem is ...
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### XGB Regression: Is there a way to handle somewhat bimodal Y variable?

I am using XGBRegression to predict on continuous percentage data with 80% of the values around 100, 10% around 0 and 10% data distributed in the middle. Models are struggling with predictions around ...
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### Trying to compress text with NLP

For a university project, I need to send text in Spanish via SMS. As these have a cost, I am trying to compress this text in an inefficient way. This consists of first generating a permutation of ...
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### Like Time-To-Event analysis, but looking at the timing of events that do or do not happen on a binary outcome

I have a problem where every observation has a binary outcome that occurs at the end of a fixed period, and the predictor variables describe a few types of event that either happen on some day within ...
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### Why are the values of my Y predicted the same and R-Squared Negative in SupervisedDBNRegression, Neural Networks

My model is not outputting the results I expected. I don't quite know my way around ANN. After learning how to use SupervisedDBNClassification from https://github.com/albertbup/deep-belief-network I ...
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### multi linear regression result interpretation on variable squared

I have trouble interpreting the variable squared result on this regression. for the information, my dependent variable is the gallons consumed by the aircraft. The Leg mileage variable is the distance ...
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### How can - and why does - Random Forest over-forecast? [closed]

My understanding of Random Forest Regression is that each leaf node contains one or multiple examples from the training data. When predicting, each tree finds the most appropriate leaf and takes the ...
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### inbuilt python module for regression of multivariate

I am working on the following problem: In linear regression, I have used the python sklearn.linear_model LinearRegression by calling ...
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### Logistic Regression Model on Test Set - in Titanic Data Showing Error

I have built the model on Titanic Data set , with Logistic Regression Succeffullly and it is giving prediction on training set , but unfortunately I am unable to implement this on test data set. ...