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@gbifvyihk
Can you verify the following for me?
It would seem that the scoring method/function for regression models (e.g. Ridge Regression) is the `score(X,y)` method/function. This function. w…
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Below is my code to estimate treatment effects. There is a much wider confidence interval of ATT (i.e., [-200k, 900k]) by Causal Forest DML model, compared to that calculated by linear DML model (i.e,…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Algorithms Used
KNN Classifier
Logestic Regression
Decision Tree Classifier
Linear SVC…
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draft: Conventional tests for diagnosing linear regression models are too sensitive
(the use of conventional is ambiguous)
Why don't people use statistical tests to diagnose the linear regression mo…
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Always funny how these projects start, one goes from like 100 users that understand the tremendous opportunity of fast in-memory computing --- and then 2-3 years later 10 million people heavily rely o…
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I don't see any lasso regression model in linear models.Can i implement the lasso regression model?
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Would be nice to test if better models can be generated using the regression schemes available in the [StatsModels](https://www.statsmodels.org/stable/examples/index.html) Python package.
Linear Re…
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I have no idea where to leave the comment, so this is what I do. In case of questions, let me know.
The project is bombastic! The code is clear and understandable, though please, follow pep-8. The …
stta9 updated
1 month ago
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Assignment 2 aims to find misinformation on social network, i.e., identify profiles that
are mistakenly recorded as human/non-human profiles
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```
...
from cuml.linear_model import LogisticRegression
from cuml.metrics import accuracy_score
...
print("Initializing Logistic Regression model...")
model = LogisticRegression()
print("Tra…