Questions tagged [linear-regression]
Techniques for analyzing the relationship between one (or more) "dependent" variables and "independent" variables.
775 questions
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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....
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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 ...
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1answer
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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 ...
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3votes
1answer
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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 ...
0votes
1answer
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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 ...
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1answer
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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 ...
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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
4votes
1answer
566views
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 ...
- 105
3votes
1answer
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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 ...
3votes
1answer
207views
regression model outperform every models
I followed from this question. Case1: I have the following task: Train for consecutive 3 days to predict each fourth day. Each day's data represents one CSV file, which has dimensions 24x25. Each ...
- 105
7votes
1answer
284views
When the regression models outperforms naive method?
I followed from this question. Case1: I have the following task to do: Training by the consecutive 3 days to predict the each 4th day. Each day data represents one CSV file which has dimension 24x25. ...
- 105
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Training by multivariate data sets
I have the following task to do: Training by the consecutive 3 days to predict the 4th day. Each day data represents one CSV file which has dimension 24x25. Every datapoints of each CSV file are ...
- 105
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1answer
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Is the dataset fit for Linear and Logistic Regression
I am trying to check the correlation in a red wine quality dataset via a scatter plot but it seems it just doesn't seem to be linear. I have applied the preprocessing steps below: Standard Scaler ...
- 135
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1answer
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What does "overfitting" exactly means in linear regression?
I was trying to understand the overfitting concept. So I know that when the training R^2 is greater than 95% it means the model is overfitted and after doing some ...
- 135
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Which input features do I need to drop after examining variance inflation factor (VIF)?
For example, I got the following VIF factor result (weekday_ is one-hot encoding): ...
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