# Questions tagged [regression]

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

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### Forecasting daily usage of a prouct

Lets say that you have panel data, of daily consumption of product p1 of 10000 individuals. The panel data is on a daily basis for only one month, this means that $t=1,...,30$. The question is how do ...
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### How to relate the regularized regression coefficients with their number in the plot?

I have a model with 13 independent variables (all of them are significant and 2 of them are categorical variables) and 678 observations. I ran the ridge regression and lasso on the data set using ...
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### Regression coefficient stability measurement in a multiple linear regression particularly in r?

I have a model with 13 independent variables (all of them are significant and 2 of them are categorical variables) and 678 observations. I was wondering if there is any way to check the coefficients ...
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### Difference between coefficient of determination and least squared error?

Where and when should I consider R^2 as a measure of goodness-of-fit for regressions? Usually I choose the least squared model as the best model. Is it possible that the least squared model does not ...
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### Best tool for analyzing inventory that has binary sales outcome of yes or no

I am trying to determine a good tool that will help me generate a probability of a sale for a list of of 300,000 products. I have a table of historical sales data (with about 300,000 records) that ...
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### How to interpret a dataset with a pseudo-logarithmic trend?

I am dealing with a scatterplot where I am trying to figure out the relationship between two variables, but I have so far failed to identify what the best fit could be. The presence of zero values ...
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### If my data looks like this, is linear regression just never gonna be useful?

Clearly you can see that there is no linear relationship. If there was one it would be a vertical line which is not that useful. I need some type of regression rather than classification as the output ...
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### Machine Learning with fixed and variable inputs and multiple outputs

I've been doing machine learning and neural networks for a couple months, and finished a 5 months online course of it last year, but I'm struggling in an specific scenario: Let's say we've got this ...
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### Beginner: how to model net change given an incomplete set of input/output figures

this is my first post on the Stack Exchange site, and I'm looking for some guidance. I have a set of 10x input numbers (positive), and a set of 10x output numbers (negative), as well as the real net ...
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### Why is Spark's LinearRegressionWithSGD very slow locally?

I have been trying to run linear regression with SGD that is found in Spark mllib for some time and I am experiencing huge performance problems. All examples that I was looking have number of ...
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### Comparing training and validation data set Root MSE for a best subset regression?

I’ve a model with 14 dependent variables (all of them are significant) and 678 observations. I used best subset regression and validation set (33% of data for the validation) to find which statistical ...
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### Ideas on cost function

[If this is the wrong place to ask this question, please let me know where I can receive better answers:)] So I'm building an internal tool for an digital media organization. The tool aims to track ...
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### Hyperparameters in Gaussian Process

My academical background is in physics and analysis (PDE's), but now I'am reading about data science. I'm reading about Gaussian Process implementation in Sci-Kit Learn I could not find a simple ...
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### How exactly dependent variable is expressed in terms of independent variables using Partial Least Square Regression Method?

I understand the working of NIPALS algorithm but while doing the regression using PLS how exactly the relation between known and unknown is established using Principle Component Analysis. The idea is ...
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### Modified Voting Algorithm to find the best recommendation

I have to find the best 10 items from the set of items for x number of given features. I don't know what the best recommendation will be. User data is not available to validate it. After reading a ...
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### Validate output

I am trying to find the top 10 useful item recommendation. Items are divided into categories and then top10 in each category is calculated. There are six features based on which a score is assigned to ...
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### How to predict an approximate weekly/monthly number, when the Unique Daily Visitors for that week/month are already known

I am trying to come up with a formula or machine learning algorithm using which I can approximately predict the weekly or monthly users. What to keep in mind is that I already have counts for the ...
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### How to decide the number of trees parameter for Random Forest algorithm in PySpark MLlib?

I am working on Random Forest algorithm in PySpark MLlib and have a doubt regarding the ...
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### What regressors are recommended with text modeling?

For the sake of my own exploration, I am working on a sales prediction project. I am using text extracted from a set of books to build a predictive model. With scikit learn, I have created a Tfidf, ...
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### Best regression model to use for sales prediction

I have the following variables along with sales data going back a few years: date # simple date, can be split in year, month etc shipping_time (0-6 weeks) # 0 weeks means in stock, more weeks means ...
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### Confidence range for individual prediction from multiple regression

I've built a multivariate regression model for predicting the price of an item given a couple of other factors about that item - age, condition, etc. So, given values for age and condition I can ...
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### Export weights (formula) from Random Forest Regressor in Scikit-Learn

I trained a prediction model with Scikit Learn in Python (Random Forest Regressor) and I want to extract somehow the weights of each feature to create an excel tool for manual prediction. The only ...
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### How to select regression algorithm for noisy (scattered) data? [closed]

I am going to do regression analysis with multiple variables. In my data I have n = 23 features and m = 13000 training examples. Here is the plot of my training data (area of houses against price): ...
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### Predicting when a partition in Oracle database will be archived

We have an Oracle database in which the main table "A1" is partitioned by the hour of insertion of the row. A row once inserted, may be updated depending upon data in 6 other tables (B,C,D,E,F,G) in ...
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### Improve a regression model and feature selection

I am working on Azure ML Studio and try to create a regression model to predict a numerical value. I will try to describe my features and what I have done until now. My data with about 3 million rows ...
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### Has anyone defined a spline function (i.e. defineFuction) in PMML?

Has anyone defined a spline function (i.e. defineFuction) in PMML? There are quite a few parameters that need to be defined, with a fairly lengthy math. For example, for a predictor with a simple 3-...
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### Can regression trees predict continuously?

Suppose I have a smooth function like $f(x, y) = x^2+y^2$. I have a training set $D \subsetneq \{((x, y), f(x,y)) | (x,y) \in \mathbb{R}^2\}$ and, of course, I don't know $f$ although I can evaluate \$...
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### Regression problem - too complex for gradient descent

I try to predict temperatures values as function of time and different parameters. The temperature curve look like a "ramp" with some "gauss peaks" on regular intervals. So, I try to build a ...
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### Random Forest Regression. How to represent really long list of categories for processing

I'm trying to build a model to solve a regression task. Simplified, the data look like: ...
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### Combining Linear Regression and Time Series

Does anyone know of a predictive model that can combine the linear regression model and time series model? I have some data about some products. The data has two parts, some attributes about the ...
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### Categorical and ordinal feature data representation in regression analysis? [closed]

I am trying to fully understand difference between categorical and ordinal data when doing regression analysis. For now, what is clear: Categorical feature and data example: Color: red, white, black ...
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### Regression: how to interpret different linear relations?

I have three datasets, let's call them X and Y1 and Y2. A scatterplot is produced out of ...