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This issue tracks the addition of the Logistic Regression algorithm to our project. Logistic Regression is a fundamental machine learning algorithm for binary classification tasks. The implementation …
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**What's wrong?**
Logistic Regression reports "Fitting failed. ReplaceUnknowns has no attribute function."
The issue must be Statistics, but looking at the data there's nothing suspicious. So I …
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https://github.com/accord-net/framework/blob/development/Sources/Accord.Statistics/Analysis/LogisticRegressionAnalysis.cs
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While Logistic Regression is a commonly used algorithm for binary classification tasks like breast cancer classification, there are challenges in achieving high generalization performance across diffe…
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**Objective** : This model would predict whether a transaction is fraudulent or not based on transaction features.
This model would **understand** data, preprocess, train logistic regression; asse…
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This change is for player and spidertron logistic request summary info.
# Currently included info (updated)
1. If logistics has not been researched, return only a warning
2. State network presenc…
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To authors of this publication,
For a final group project in my statistics course, we chose to replicate your regression analyses. I am curious as to why you have an ordered logistic regression inc…
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Currently "objective" parameter for the `XGBoostClassifier ` is limited to "reg:squarederror", "reg:tweedie", "reg:linear", "reg:logistic", "binary:logistic", "binary:logitraw". And these values are …
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In the freight project, we are going the next step and have logistic chains. So the goods were either transported directly by one carrier from the origin to the destination, or they will go the way in…
kt86 updated
3 months ago
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I am building a Logistic Regression model based on this paper using BFV scheme : https://eprint.iacr.org/2018/462.pdf
However, I could not complete it, because of its floating point number in approxi…