Questions tagged [Regression analysis] (11)

Good afternoon. If I consider the classifying neural network or random forest, it makes sense to talk about such metrics as the residual zero deviation (residual deviance and null reviance)?

Good day! Advise please the literature on non-linear regression analysis. It is often necessary to choose the nonlinear function to solve practical problems. The problem is the selection of the form of regression curve.

Hello, I am in my first year of applied Informatics.Programming experience is small, the C# language .It's time to choose the theme of the course work.I offered to do the analysis of the teacher proposed to make the regression analysis.This is a fundamental part of machine learning in General I was interested.But it is not ...

I'm trying to conduct a regression analysis. There are many variables (multiple regression feature). Some variables for some data item has value and they are set to null. For ordinal variables, I can use the Null substitution s average data. But what if the variable is categorical. Such as color or area of the city. For cla...

In General, previously, the regression was not done. Now I found that at some point everything started to fall. The essence of the problem: the Gita is a repository, let's say there are 40 commits. It is necessary to run the tests starting from the 20th commit, and so they automatically went on until the last

The regression algorithms work with data characteristics is presented in the form of numbers. For example: Pretty clear how to build a regression model on these data to predict the price. But at the moment I would like to build a regression model on data that contain strings (type string): How to build a regression on such ...

I'm trying to conduct a regression analysis. There are many variables (multiple regression feature). Some variables for some data item has value and they are set to null. For clarity the picture: As you can see, some elements do not have values for certain categories (features). At the moment, I've set them to Null. But how...

I'm trying to fully understand the difference between data representation categorical and ordinal types when running the regression. At the moment there are the following rules:Categorical variable and example: Color: red, white, black Why is categorical: red < white < black is logically incorrectOrdinal variable exam...

I want to build a regression with multiple variables (multiple features). In my data I have n = 23 variables and m = 13000 training examples. Here is the schedule of my training data (the size of the apartment vs price): Here the graph shows 13000 training data. As you can see, it is quite noisy data. My question is: which...

Can't find material in Russian. Maybe someone can help. Thanks in advance!