Questions tagged [Regression analysis] (11)

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Whether the concept of residual and null deviance sense when considering the classifier, different from linear regression?

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)?
Caleigh_Spencer83 asked April 3rd 20 at 23:48
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Which books should be read by non-linear regression analysis?

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.
Hyman_Borer asked March 24th 20 at 11:10
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Regression analysis where to learn?

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 ...
corine_Kub asked March 17th 20 at 09:36
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How to handle null values of categorical variables in regression (machine learning)?

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...
clemmie_Erdman62 asked September 13th 19 at 15:48
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How to configure jenkins to run tests from a specific commit?

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
Idella_Kshlerin asked August 8th 19 at 14:27
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How to build a regression on data of type string (machine learning)?

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 ...
clemmie_Erdman62 asked July 31st 19 at 11:32
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How to handle null values for variables in the regression (machine learning)?

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...
clemmie_Erdman62 asked July 31st 19 at 10:46
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Representation of categorical and ordinal data, linear regression (machine learning)?

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...
clemmie_Erdman62 asked July 31st 19 at 10:42
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Which algorithm to choose the regression for noisy (scattered) data?

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...
clemmie_Erdman62 asked July 29th 19 at 21:43
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What books are in Russian virtual analyzers in the oil and gas industry?

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