Questions tagged [linear-regression]
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
772 questions
1 vote
0 answers
47 views
MMM model vs Monte Carlo
I was given a project where only using Net Media Value and possibily audience considered , I have to try to estimate sales and unit return of media investment. I was asked to try to apply a Monte ...
- 11
7 votes
2 answers
181 views
Why are kernel methods often considered hard to interpret, despite accessible θ coefficients?
I'm trying to understand why kernel methods are frequently regarded as difficult to interpret. To me, in principle, the model’s parameters are accessible. We are trying to learn $h_{\theta}$ (let's ...
5 votes
1 answer
84 views
Changes over time is significant
I am not sure if this is the right place to ask, but I have two fecundity datasets per year. One for males, the other for females: To give an excerpt of the data: Gender year number born M 1990 1 M ...
- 53
1 vote
0 answers
44 views
Regression analysis for histograms
I am working in the field of LIDAR/RADAR and could use your help in exploring certain ideas. I have a certain scenario where I want to map histograms to certain numerical value (distance of object in ...
- 11
5 votes
1 answer
83 views
"Singular values of x" in LinearRegression
LinearRegression has an attribute singular_ which returns "singular values of x". According to a definition I found: "singularity is ... when a ...
- 53
2 votes
1 answer
42 views
Categorical variable coefficient one hot encoded
After Linear Regression, one of my categorical variable (gender) got OHE and as a result I have 2 coefficient for gender_0 and gender_1. How do I stop Orange from OHE that variable so that I only have ...
3 votes
1 answer
113 views
Constant feature ignored by Spark LinearRegression?
I am running a linear regression model using PySpark, and came across following weird behavior: When I include a constant feature (representing an intercept term), it is ignored completely by Spark. I....
- 139
1 vote
0 answers
52 views
Predicting PGA Tour results with Linear Regression
I have curated a dataset from various online sources that contains information about each PGA player's weekly performance/trends. I'm attempting to predict their finishing positions at the next ...
- 21
-1 votes
1 answer
186 views
Why linear regression doing not so well with respect to walk-forward validation?
I followed from this question1,question2. I have the following task to do: I have time series data. Training by the consecutive 3 days to predict the each 4th day. Each day data represents one CSV ...
- 95
3 votes
1 answer
129 views
How to incorporate weights (probability measurements) of data into a mean squared error loss function
I am training a CNN to regress on 4 targets related to a given image. Within the image is a point of interest whose position can be defined by phi, and theta (corresponding to x and y of a normal ...
- 31
0 votes
1 answer
159 views
Finding importance of features on a target variable
I have a dataset containing features and a target variable, all of which are numeric values. I wanted to see which variables influence the target variable in what way, if at all, and thought a ...
- 1
1 vote
1 answer
50 views
Can I use percentages to determine the influence of one variable on a dependent variable?
I have four independent variables to analyze their influence on one independent variable. One of the independent variables is coded in percentage. How can I determine its influence on the dependent ...
- 11
0 votes
0 answers
63 views
Linear Regression with coefficients coming from LightGBM
I was wondering if anyone has tried to use a LightGBM to estimate the alpha and beta of a linear regression model. I am looking into this because I am seeking an interpretable model. A direct lgbm ...
- 101
4 votes
1 answer
663 views
Why linear regression doing well in time series data?
I followed from this question. I have the following task to do: I have time series data. Training by the consecutive 3 days to predict the each 4th day. Each day data represents one CSV file which ...
- 95
3 votes
1 answer
80 views
When I use linear regression in machine learning, variables selection is same as choosing turning parameters?
I am a newbie in machine learning. After days of studying the ideas of machine learning, I have made some conclusions, which are below (I only consider supervised learning). Step 1: Data splitting ...
