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○ Time: 6 weeks
○ Tools Required: Scikit-learn, TensorFlow, PyTorch (within Azure AI Studio or Microsoft Fabric)
○ Steps:
1. Define model requirements and objectives.
□ Utilize histor…
zepor updated
2 months ago
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Hi Tatyana,
We observed a better classification result using RBFNetwork classifier. The result is showing as below:
=== Stratified cross-validation ===
=== Summary ===
Correctly Classified Instance…
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Abro esta issue para preguntar sobre librerías en general para la tarea. La idea es que si alguien más quiere saber sobre si es legal usar cierta librería o no lo pueda preguntar en esta misma issue y…
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## Context of the issue
I'm encountering an issue while using TPOTClassifier with XGBoost where I receive a **ValueError indicating invalid classes inferred from the unique values of y. The expecte…
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It is important to stratify the samples according to y for cross-validation in regression models; otherwise, you might possibly get totally different ranges of y in training and validation sets. Howev…
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### Bayes Theorem
#### posteriori probability / conditional probability
P(H|E) is the probability of the hypothesis (i.e. that E is a rose), given that we
have seen that E is red and long
#…
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Dear surveyCV Package Author
I am reaching out to seek assistance with an issue I encountered while using your surveyCV package for cross-validation in my survey data analysis. I am currently usi…
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Let's add an `id_column` to all our algorithms, grid and AutoML functions. Right now, if you have pooled-repeated measures data (one ID/person/cluster contributes multiple rows to the training set), …
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Right now the TrainTestSplit() function that is implemented in the cross_validation package is never used anywhere, because the base package already implements InstancesTrainTestSplit().
Personally, …
njern updated
10 years ago
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Hello!
I'm very excited to use this package; however, I've come across a problem and I was hoping you could help.
Within my dataset, I have some cases with 200 negatives and 0 positives. When I…