# All Questions

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### Large Dataset vs small Splitted Dataset for XGBoost [closed]

I have a Promotions Dataset consisting of around 500,000 records for each retailer. Owing to the nature of the project, I have chosen XGBoost Algorithm. Now, what would be a good approach:- a) Train ...
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### Logistic regression - what is the example interpretation of standardized odds ratio?

Let's have an example: The model is used to classify outcome (won, lost). variable_1 is having std_coefficient of 1.610 and std_odds_ratio of 5.003 variable_2 is having std_coefficeint of -2.675 and ...
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### Train autoencoder to reconstruct 2D Gaussian data

I am trying to train an autoencoder to reconstruct 2D Gaussian data. These datapoints are simply sampled from Gaussians with means and covariances chosen randomly. An illustration of what I am trying ...
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### Multiple linear regression - Mixed Independent Variables (Categorical and Continuous)

I'm working to improve my knowledge in predictive models. I would like to build a multiple Linear Regression by using Excel as a first step if possible. if not I'm open to solutions with R or Python. ...
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### What statistical test would be best for determining if one group is directly correlated to another?

I have to determine if temperature values are the direct cause of three groups, low, medium, and high. I would assign each of these groups a number, low would be 1, medium 2, and high 3, so the data ...
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### Survival Analysis - Right Censoring Data

I am using Survival Analysis to build an attrition model. I have a data set with ~15,000 people that spans the past 5 years. Approx. 2,000 left in the last 5 years. The remaining people stayed at the ...
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### How to Evaluate model's r-square after inverting from logarithmic

I stacked with question about inverting the r-square() model value after taking log1p(). My baseline LinearRegression model ...
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### Estimation method [closed]

I am estimating the impact of pesticides on maize productivity using panel data for 2years. And I am not sure which method to use for estimating the cobb douglas production function with exponential ...
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### Unable to install the “twosamplemr” package [closed]

I was hoping someone could point out how to resolve this problem: I first entered the following: devtools::install_github("MRCIEU/TwoSampleMR") Then lots ...
16 views

### Is it a good way to present updated model coefficients by refitting the model using both derivation and validation data?

I am conducting a research on the development and external validation of a prediction model. I have developed a regression-based prediction model using derivation set data and externally validated it ...
24 views

### GAM not actually using categorical variables?

I am very new to GAMs, but I am trying to use gam() from the mgcv package to fit a logistic regression model using cubic splines....
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### Interpreting binomial glm model output, what is the estimate?

I am using regression models for the first time in R. Currently using the function summary()for the glm output. I have three variables I've put into my model ...
27 views

### How do you choose an objective function? [closed]

Say you're doing regression, how do you know RMSE is the right objective function for your problem. The typical response I get is what errors you care about, but my follow-up question to that response ...
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### I don't seem to understand the following schema [closed]

I am having trouble understanding the components and the meaning of the following schema. Can someone give a hint or an explanation?
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### How use Genetic Algorithms and Particle Swarm Algorithms for Constrained Optimization? [closed]

Genetic Algorithms and Particle Swarm Algorithm are used for Unconstrained Optimization. How should they be used to solve constrained optimization problems, then solve linear programming or nonlinear ...
28 views

### What value for recall implies a logistic regression model is good?

I'm studying logistic regression using Python and about metrics to have a good model, I know this three: accuracy, precision and recall. In the same way, I was studying using a dataset about ads in ...
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### How can I create a partial year dummy variable for a panel dataset?

This might be a dumb question, but here goes. I have a panel dataset that includes annual firm-level data from 2010-2020. I am interested in the effect of a specific policy change (X) in my outcome ...