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### Description
exact logistics regression is a powerful alternative to the usual "unconditional" logistic regression when the number of events is small compared to number of covariates
### Purpose
…
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Hello!
As a contributor in GsSOC24
I want to improve the repository by adding information about Exploratory Data Analysis (EDA) and Classification methods, especially Decision Trees, Logistic Reg…
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# TODO
- [ ] Add equation to model spec docs for the `log_growth_general` function in `scen_generation.R`
- [ ] Profit?
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As described in the paper the first method for MNAR is using logistic regression with all other features as inputs, then mask data using MCAR. But in the code, I found it only has MNAR self-masking lo…
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### Description
Conditional logistic regression is used in the analysis of matched case-control data. Its preferred in such cases over other types of regression.
### Purpose
To allow researchers to…
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The paper mentions using traditional machine learning methods, such as LR (Logistic Regression) and RF (Random Forest). How did you extract the features for these methods?
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I would like to build a logistic regressor from scratch and deploy it on a diabetes risk dataset. Additionally I intend to use the Streamlit library to create a UI to deploy the model.
I plan to im…
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Hello,
What are the available metrics for early stopping in Logistic Regression model ?
Do we currently have 'AUC' and 'ks' only ?
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#### Description:
This is a complicated suggestion. Logistics. Right now units consume food present on planet/galaxy (depending on warehouse settings). A unit could have a status addes, in/out of s…
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- Flood Susceptibility Mapping (FSM) involves identifying areas prone to flooding to mitigate future floods and assess susceptibility.
- Floods are among the most destructive natural disasters, causi…